Here are some of our highlights from 2022 and some updates for 2023.

2022 was an excellent year for eLabNext

In 2022,

• We welcomed more than 200 new customers
• We had 63 product releases. 12 of which were significant features

Thanks to feedback from all our customers, we were able to work on several features and improvements.

Here are our most important releases from 2022…

Auto-incremental sample naming

Unique sample names can now be automatically generated based on an incremental number, supplemented with a custom prefix and suffix. The generated sample name can also be applied as the barcode or used in a custom sample field.

Assigning Tasks

We introduced the ability to create and assign tasks to users. Users will be notified when tasks are assigned to them. The Tasks Add-on is available to all users and can be installed for free in the Marketplace.

Electronic Signatures with Single Sign-on

Customers with Private Clouds and On-Premises installations that use Single Sign-On may now sign experiments with their organisation login.

Custom Protocol Categories

Groups may now create custom protocol categories to organise their protocols.

Marketplace improvements and new integrations

eLabNext's openness to integrate with other 3^rd party products and services makes it unique. In 2022, the following ten add-ons were released in eLab Marketplace:

• ImmunoMind
• mpVision
• Eppendorf VisioNize Sense
• FLUICS PRINT
• CloneAssist – BETA
• ChemAssist – BETA
• Tasks
• Box
• Pipsqueak Pro
• Clustermarket’s equipment scheduler
• Enhanced LaB Execution – BETA

We are happy to see that more customers are taking advantage of our API and SDK to extend the functionality of eLabNext according to their needs and build private add-ons. As part of our strategy of being an open ecosystem platform for life science labs, we will continue to work with other 3^rd parties to bring many more new add-ons to our marketplace.

Please visit our Product Updates page to see all updates released in 2022.

What to expect in 2023...

We have been working hard to complete a revamp of our sample Management functionalities. We plan to release this in 2023. In addition to the great new look, we worked on improving the usability of the Inventory Browser to support the following new features:

• Support for drag and drop to move samples
• Custom List views in the Inventory Browser
• Collapsing of sample series

Finally, we would like to thank you all for your continued support in 2022 and look forward to continuing to support you in 2023.

Best wishes for the New Year!

The eLabNext Team

Biobanks have become essential providers of valuable biospecimens and associated metadata, empowering researchers to perform large-scale genetic studies, develop personalized therapeutics, and answer global questions. With the growth in biobanking and its foundational role in research, an increasing number of biobanks are using digital platforms, such as laboratory inventory management systems (LIMS), to organize their collections of biospecimens, handle day-to-day operations, track trends in activity, and more. 

But, there are many LIMS software options for biobanking. And not all of them are created equal. 

Choosing an appropriate platform for your needs can positively impact your biobanking operations' efficiency, accuracy, and success. Therefore, it’s vital to ask critical questions when evaluating biobanking LIMS providers. 

Take a look at these 6 key questions to help you assess whether or not a LIMS software for biobanking is right for you.

Question #1: How does the Software Handle Sample Management and Tracking?

A well-designed sample tracking and inventory management system can significantly improve the efficiency of your biobanking operations by providing a “birds-eye-view” of your entire collection. Any software you’re considering and evaluating should provide a centralized system for managing any type of biospecimen (and associated metadata or documentation) within your biobank, control the distribution of biospecimens to researchers, integrate with all other software (e.g., electronic lab notebooks) or equipment (e.g., ultra-low temperature freezers), and find space for new biospecimens. All entries should have full traceability so that they are audit ready and can be understood by the appropriate personnel.

Question #2: Does the software have a user-friendly interface that is easy to navigate?

A user-friendly interface should be intuitive and have a logical layout for the LIMS functionalities. This makes it easy to find the necessary information and perform tasks without extensive training. The software should also have clear and concise instructions that can help users to understand how to use the software efficiently. For more advanced features, make sure that technical support and training are provided by any LIMS vendor you are considering (see the next question below).

A favourable and easy user experience can increase adoption and satisfaction, which can improve the biobanking operation's overall success.

Question #3: Does the Software Vendor Provide Training and Customer Support?

Adequate training and customer support can ensure that LIMS software is used correctly and that any issues are quickly resolved. Vendors that provide training and support across the LIMS lifecycle help improve biobanking operations' efficiency by arming users with the information they need to succeed while using the LIMS.

The software vendor should train all staff on using the software, including hands-on training, online tutorials, and documentation.

Additionally, the vendor should provide ongoing support to assist with issues arising after the software is implemented. Make sure that you have access to the technical support team 24/7, so whenever a problem comes up, you have the help you need. You can put this to the test during trial periods, which most LIMS vendors offer for 30 days at no charge.

Another way to learn more about LIMS technical support, software performance, and overall reliability is to check in with current platform users and ask them about their strengths or weaknesses.

Question #4: What is the Transition Process from Our Legacy System to a New LIMS?

Transitioning from a legacy LIMS, platform, or bootstrapped solution to a new LIMS can be difficult. To ensure a smooth transition, it is essential to evaluate how a new vendor and system can support the process. 

Begin by assessing your current system and identifying all essential data that needs to be transferred to the new system. Then, ask the vendor's support staff about how the new system can accommodate this data and how you can import it in a format that the new system can understand. Ask for a demonstration of how this process works, and if you end up purchasing a new LIMS, be sure that you’ve carefully vetted the technical support team (described in the section above) so that they can walk you through the process and identify any potential problem areas.

Question #5: How does the Software Handle Data Security and Privacy?

Data security and privacy should be top priorities when considering LIMS for your biobanking operations. The software needs robust security features such as encryption, user authentication, and access controls to protect against unauthorized access and data breaches. It should also comply with regulations such as 21 CFR Part 11 and GxP guidelines to ensure that the data is handled and stored in a compliant manner.

Furthermore, audit trails and reporting capabilities to track and monitor data access can help detect and prevent any security breaches, a necessary feature for a biobanking LIMS. The software should also be able to back up and restore data in case of accidental or malicious data loss.

Question #6: Is the Software Scalable, and Can it Accommodate the Future Growth of the Biobank?

Scalable LIMS software for biobanking can accommodate future growth and handle an increasing number of samples, users, and complex data sets.

To ensure that the LIMS you are considering can scale up or down as needed, assess if the platform can be cloud-based and integrate with other systems, such as extra storage solutions, which can help handle the increasing amount of data generated by the biobank.

Additionally, expanding functionality through add-ons and tracking activity trends are two powerful features that can help inform growth opportunities and maintain performance and reliability. The former can allow more rapid and accurate sample management and tracking, while the latter can help personnel make strategic decisions about equipment purchases.

How Do You Make a Decision About a Biobanking LIMS Provider?

Getting answers to the questions above is essential to educate yourself about the strengths and weaknesses of the various software solutions available.

If you want to learn more about finding a digital platform that’s right for your biobanking operation, download our biobanking guide, “​​How to Choose the Best Digital Platform for Your Biobank: A Complete Guide to Avoiding Digital Chaos and Streamlining Your Operations.”

You’ll learn about:

• The ins and outs of modern-day biobanking
• What key challenges do biobanks face, and their impact on operations
• How to overcome common barriers in biobanking using a digital lab platform
• A step-by-step process for evaluating a biobanking software vendor
• How eLabInventory can streamline your biospecimen management process
• Why the Musculoskeletal Oncology Lab (MOL) at the University of Pittsburgh uses eLabInventory

Working in biotech or pharma means performing research, advancing candidates to market, and manufacturing products in compliance with regulatory guidelines, collectively known as GxP principles.

The “x” is shorthand for specific environments, including the laboratory (good laboratory practices; GLP) and manufacturing facilities (good manufacturing practices; GMP). GxP guidelines help ensure that data is managed correctly and that products like pharmaceuticals are manufactured with safety, efficacy, and quality in mind. Yet, complying with these guidelines requires rigorous documentation.

GxP Compliance Challenges

Adapting to GLP and GMP guidelines can be challenging for labs transitioning their operations from unregulated environments: Voluminous paper records require physical storage space, are not always immediately accessible, and require time and effort to store, secure, and manage.

These hurdles can have detrimental effects on the integrity of data (i.e., which ensures the reliability of data) collected in GxP labs or facilities. It can also negatively impact the traceability (i.e., the ability to reconstruct the development history of a product, such as a drug or medical device) and accountability (i.e., the ability to resolve who has contributed what to the development and when) of information, two key characteristics necessary if regulatory authorities need to conduct an audit.

How to Solve GxP Issues with ELNs

To control these issues, web-based laboratory management software like an electronic laboratory notebook (ELN) can help manage traceability, accountability, and data integrity, three pillars of GxP compliance.

Many software options offer flexible platforms that facilitate the efficient flow and secure storage of information, keeping track of data, samples, inventory, and other critical details.

These functions are necessary for various aspects of GxP compliance and are commonly deployed to help labs and manufacturing facilities manage this process. In turn, GxP guidelines outline several requirements for those using ELNs or other software solutions.

Let’s look at GLP and GMP principles, what they are, and how ELNs can help promote regulatory compliance.

What is GLP Compliance? How Does it Apply to ELNs?

GLP (Good Laboratory Principles) guidelines are a “quality control system covering the organizational process and the conditions under which non-clinical health and environmental studies are planned, performed, monitored, recorded, reported and retained.”

The FDA uses GLP principles as a framework for efficacy and safety testing of pharmaceutics, veterinary drugs, cosmetic products, and other similar products.

GLP guidelines apply to personnel, facilities, protocols, standard operating procedures (SOPs), biological and chemical materials, and reporting, storage, and retention of data involved in a study.

Below, we outline three vital GLP principles that apply to ELNs and their use to manage digital data.

GLP Compliance Principle #1: Data security and integrity

Raw data, including photographs, computer-readable media, observations, recorded data from automated instruments, and any other data storage medium, must be securely stored and protected from unauthorized access, changes, and loss.

Data also needs to be protected from any unauthorized modifications. Any changes must be fully auditable, with a timestamp, associated personnel, and electronic signature.

GLP Compliance Principle #2: Validation of software

Any software or computer system that stores and retains data must be fully validated, operated, and maintained for experimental studies. GLP laboratories also need to ensure that any validated ELN software is supported through regular maintenance, technical aid, performance review, and training to ensure that ELN software is being used correctly and continues to comply with GLP principles.

GLP Compliance Principle #3: Archived data

Digital data should be archived so that personnel can easily access it, in a readable format, throughout a time period specified by regulatory authorities. Permission and access also must be restricted to authorized users.

What is GMP Compliance? How Does it Apply to ELNs?

GMP (Good Manufacturing Practices) and principles help to ensure the quality and safety of a product through defined requirements for the methods, facilities, and controls used in the manufacturing, processing, and packing of a product. GMP guidelines apply to pharmaceutical or biotech companies manufacturing products for human or veterinary use.

Much like in the GLP guidelines, GMP guidance has specific regulations for electronic data management, comprehensively outlined in Title 21 CFR Part 11, the FDA regulations on Electronic Records and Electronic Signatures.

This guidance document states, “Part 11 applies to records in electronic form that are created, modified, maintained, archived, retrieved, or transmitted under any records requirements set forth in Agency regulations.”

Below are some of the essential GMP principles, as outlined in Part 11, that you’ll need to comply with when managing electronic data with an ELN.

GMP Principle #1: Validation

The FDA has published a detailed software validation process that helps to ensure that any platform used is qualified for its intended purpose. Validation can be broken down into three distinct processes:

• Installation qualification, which asks if the software is installed correctly
• Operational qualification, which asks if the software complies with requirements outlined in Part 11
• Performance qualification, which asks if the software reliably produces results while operating

GMP Compliance Principle #2: Audit trails

Electronic records must be fully auditable by regulatory bodies, such as the FDA. That means a historical account of all electronic records and associated activities needs to be kept and maintained.

In doing so, all records become easily traceable: If the FDA conducts an audit, they can determine what actions (creation, modification, or deletion of data) were taken, at what time, on what date, and by whom.

Therefore, all personnel must have defined user roles and appropriate permissions within a software system to ensure documentation of all activities.

GMP Compliance Principle #3: Data security

An added benefit of traceability and audit trails is increased data security, a major element of Part 11 guidance. Defined user roles and permissions ensure documentation of the responsibilities and activities of all personnel involved and access only to relevant electronic information.

Password protection also improves digital security for any information stored in an ELN. Many platforms have improved security through two-step authentication, adding an extra protection layer to user accounts.

GMP Compliance Principle #4: Record retention and copying

Part 11 requires that personnel ensures “...the protection of records to enable their accurate and ready retrieval throughout the records retention period.” It also requires that human-readable copies (PDF or XML) can be made from any electronic records.

Many ELNs enable comprehensive record-keeping through manual entry, equipment or software export, or linked files. Electronic signatures (so long as they are associated with an individual) can be implemented for review or approval of records, such as standard operating procedures (SOPs), and subsequently locked so that they cannot be modified or accidentally deleted. Typically, all file versions are stored and are always recoverable to make a human-readable copy. Locked digital data can be saved in a PDF format and stored in a separate electronic location as an archive.

Finding a GLP/GMP-Compliant ELN

Regardless of the regulatory environment you find yourself in, compliance is a necessary part of ensuring the safety, efficacy, and quality of experimental, non-clinical data and/or manufactured products.

eLabJournal enables users to track and manage SOPs, digital data, samples, and inventory associated with working in highly regulated markets. It is a GLP- and Part 11-compliant ELN with a robust history of success in the biotech and pharmaceutical industry.

Laboratory personnel and regulators can search eLabJournal and view the timeline for any study or record, including any change management activities. It further enables users to have a clear map of the flow of operations, whether those operations are inputting new data, archiving data, updating sample quantity, designating equipment usage, or signing off electronically on a report or experiment.

Our software includes multiple features that support GxP compliance:

• Audit-ready traceability: Built-in audit trails automatically track and log every activity by each user.  
• All electronic records, one platform: Data inputs can be entered in multiple ways for comprehensive record keeping, including manual entry, uploads from equipment or other software, and linking files stored elsewhere on a computer.  
• Reliable signatures: Once an experiment has been electronically signed and locked, its corresponding data cannot be modified.
• Trusted record retention: All file versions are stored and always recoverable. Record retention is ensured by preventing users from deleting data.
• Easy archiving: Experimental reports saved in a PDF format are stored in a separate electronic location. Standard operating procedures (SOPs) can be easily stored and referenced.
• Safe and secure data management: Defined user roles and permissions ensure documentation of the responsibilities and activities of all personnel involved.

If you’re searching for a GxP-compliant ELN solution, schedule a personal demo today.

‍

The number of open-source and commercially available ELNs has exploded over the past decade, making labs in academia, industry, and government more streamlined, cost-effective, and organised. But, many labs still haven’t transitioned to digital information storage, choosing paper lab notebooks or an assortment of legacy systems for data management. Scientists, technicians, lab managers, and other personnel may be comfortable using these outdated approaches. Still, the consequence of not modernising your life science operations can be dire: Your lab or organisation may lose data, protocols, or samples. Ultimately, this can cause reproducibility issues or make it challenging to keep up with the current scope, breadth, and pace of research.

Resisting the Adoption of an ELN

Transitioning away from old, familiar systems remains a significant challenge for those looking to modernise. In the life sciences, we often pride ourselves on logic and reason. But when it comes to changing entrenched habits, we can be highly resistant, even to change that brings numerous advantages. While the pain points and perspectives may differ within teams, the reasons for resisting the adoption of and transition to an ELN come down to 6 common factors. Below, we discuss each reason for resistance and how you can help your organisation overcome these barriers to digitization.

Reason for Resistance #1: Lack of Information

While the COVID-19 pandemic accelerated many companies’ digital transformation, for many in the life sciences, there is still a lack of tangible information about digital health, data accessibility and security, lab sustainability, compliance, and how this all relates to information management. Intuitively, many know the advantages of digitising, but it’s unclear how software solutions, like an ELN, will help implement these initiatives. The “what” and “how” of digitization is still a black box.

Overcoming a Lack of Information

The cure for lack of information should be education, right? It may sound easy, but humans are not empty vessels into which data can be poured. Groundwork needs to be laid first. You can lay a crucial foundation for education as a small lab or large organisation by getting team buy-in on your needs for an ELN. Do you need something easy to use? Can you dump your old Excel docs and existing digital information into it? Work out all of this before you start investigating vendors. Prioritise your needs, and you’ll enter the evaluation process focused on what is essential for your organisation.Once you’ve started investigating vendors, then education about the various benefits of their platforms and how they fit into the digital ecosystem can begin. Vendors can be accommodating in this task, helping fill in the blanks by providing demonstrations and informative content. While essential, this educational step can introduce another major pitfall: Due to the many unknowns and over 80+ ELN/LIMS systems out there, a small biotech start-up or an academic lab can easily fall victim to going for the very first available system or the complete opposite, fall into the trap of endless evaluations of which solution fits them best and in turn, lose track of their agreed-upon needs.Beware of this pitfall and only gather information with your platform requirements clearly defined.

Reason for Resistance #2: Lack of Time

In today’s fast-paced digital world, time to do even simple tasks can seem non-existent. So, it’s no surprise that personnel and whole organisations would resist a change requiring a serious time commitment to learn a new software platform. As the article “How to Deal with Resistance to Change” in the Harvard Business Review put it, “Time is necessary even though there may be no resistance to the change itself.”

Overcoming a Lack of Time

This is where the expertise of the vendor you choose can help. Whether you’re tracking thousands of samples in a biobank, developing processes for CAR-T manufacturing, or managing gene editing protocols, experienced customer service reps who have helped many organisations transition to their platform can quickly understand your workflows and needs. Their role is as a consultant to streamline implementation and shorten the learning curve for your team, adding as little time as possible to the transition process.

Reason for Resistance #3: A Painful Learning Curve

Acquiring any new skill – whether you’re learning how to ride a bike, pipette with precision, load an HPLC, or use Zoom for an important meeting while your children and dog are jumping up and down in the background – takes time. As a person gets more experience with a new skill, their proficiency increases. This process, the learning curve, is unavoidable and can be frustrating for those navigating its early stages. The size of an organisation can dictate how steep or shallow the learning curve is: A laboratory of 2 people can adjust easier, whereas a larger biotech company of 20, 30, or 100 people can take a serious productivity hit while transitioning to a new information management system. And this productivity loss can be a costly hidden expense of transitioning.

Overcoming a Painful Learning Curve

It takes a good leader, strategic planning, and an enthusiastic vendor to make the learning curve as short as possible. From a management perspective, it’s helpful to estimate the loss in productivity that’s bound to occur, so you’re not blindsided as your team navigates the platform change. For those adopting and using a new platform every day, it can be helpful to “start backward,” focusing on the bliss of the end result rather than the new, unfamiliar features of the tech itself. Thinking about the benefits of adopting new technology – in the case of an ELN, it's to elevate your research/process development – is always a good motivation to quickly learn the system and start reaping the benefits as soon as possible, without feeling like they’re diving into the unknown.

Reason for Resistance #4: Fear of the Unknown

Leaving behind paper notebooks, Microsoft Work/Office, Google Docs/Sheets, or other legacy information management systems and adopting new technology can be scary. There are a lot of unknowns: What do operations look like 3, 6, or 12 months after platform transition? And if you can’t visualise the end benefits for your organisation, then the project can seem like an unattainable fool’s errand, limiting acceptance and adoption.

Overcoming Fear of the Unknown

Bridging the gap between what is known on your current platform and what is unknown on the new platform is critical and can be accomplished with the help of a skilled vendor. In addition, evaluating the project's scope and laying out what barriers are expected over what timeframe can help define many of the unknowns in people’s heads. Team leads and those championing the transition process can further facilitate this approach by intertwining digitization tasks throughout daily, weekly, and monthly workflows so personnel can experience how the new platform works in a familiar context.

Reason for Resistance #5: Change in Daily Tasks

Old habits die hard, especially those that are an entrenched part of our daily routine. Learning a new technology is often viewed as a significant change in a company or lab that will disrupt familiar procedures that personnel have grown accustomed to.

Overcoming a Change in Daily Tasks

This resistance can be reframed as introducing a new tool that gets slowly integrated into daily tasks to elevate and improve them. You can think of your platform transition as introducing a new instrument that will increase a lab's analytical power and productivity.With an ELN, the benefits of features like automation and accessibility can serve as tangible examples of how daily tasks will change. You can demonstrate how the process of looking for specific biological samples will change: Previously, you’d open your freezer door and spend time shuffling through boxes, looking for samples and threatening their integrity as they heat up. With an ELN, you can show that a simple search in an inventory browser tab makes it easy to find the sample you need, minimising the time samples are exposed to the outside environment. Wherever you can, link the change in daily tasks to clear benefits, such as saving time and minimising the risk of sample degradation.

Reason for Resistance #6: Privacy and Security Concerns

For those in biotech and pharma, dealing with confidential information, patient data, and intellectual property, data security and privacy are very important issues. With a platform transition, new questions and concerns can arise about how secure it will be against data stealing and unauthorised access.

Overcoming Privacy and Security Concerns

Discuss vendor certifications and how they can facilitate regulatory compliance and data security. ISO certifications and compliance with GxP principles are essential in biotech and pharma.When choosing an ELN vendor, one thing to be careful of is seeing if a platform provider is ISO certified versus just their data centres. This gives you the best data protection and compliance with GxP principles.

Overcoming ELN Resistance with eLabNext

At eLabNext, we know there’s a lot of information to consider while evaluating which ELN fits your needs. We’ve provided a wide array of life science organisations, from small start-ups and academic labs to global corporations, with secure ELN software platforms that are flexible to fit the diverse needs of the industry.Here are some of how we can be your partner to overcome some of the internal barriers to digitization mentioned above:

• Comprehensive Onboarding: We take a standardised approach to onboarding, and within a 2 to 3-week period of working with our support team, your team will be largely up to speed on how to use eLabNext’s platforms. By the 4th week, your team will be confident in using the various functions of our system.

• Customer-Centric Support: Our support team is friendly, attentive, and informative so that you can get comfortable with our system and solve any problems that may arise. Each member of our team comes from a life science background, so they understand the intricacies of your questions and application areas.
• Best-in-Class Privacy and Security: Almost all vendors use ISO-certified AWS data centres, but the eLabNext company follows the strict requirements of the ISO/IEC 27001:2017+A11:2020 standard. This is a key differentiator with other ELN platforms for labs and facilities that need to comply with GxP and be audit-ready.

Now that you have read about these barriers and how to overcome them, you can have a digitization conversation with your lab or organisation. To help streamline this process and build a case for it, check out our series of white papers:

• White Paper 1: It's Time to Transition
• White Paper 2: Paths to Lab Nirvana
• White Paper 3: Evaluation Checklist

If you’re tired of reading and want to start testing eLabNext immediately, get a free 30-day trial or contact me directly for a personalised demo.

RNA-based therapeutics have been considered as a genuine ‘game-changer’ in the life sciences, a disruptive technology with almost limitless applications in both genetic and infectious disease. Initially slow to take off despite their potential, the successful deployment of RNA-based vaccines during the COVID-19 pandemic has helped to turn RNA-based therapeutics into a rapidly expanding category of drugs that could transform the standard of care for many diseases, helping to advance personalized medicine at the same time.‍

RNA molecules are cost-effective, relatively simple to manufacture, and can target previously ‘undruggable’ pathways. But that potential still requires streamlined workflows, efficient data-sharing and effective communications across states, countries, and continents. Laboratory digitization platforms have gained significant ground in recent years and are being adopted more widely alongside artificial intelligence (AI) and machine learning.

In this SelectScience^® article, we speak with Dr. Andre Serobian, Chief Innovation and Commercialization Officer at the University of New South Wales (UNSW) RNA Institute in Australia, and Lara Matthews, Business Development Manager at eLabNext, to understand the coming revolution in RNA-based therapeutics and the underpinning importance of lab digitization.

‍RNA-based therapeutics – a limitless future?

‍According to Matthews, the Australian biotechnology and life sciences industry is on a roll, experiencing a 43% growth since the COVID-19 pandemic first hit. RNA technology has been a major contributor to that growth, but it also includes new efforts in gene therapy and viral vector manufacturing. Working out of the UNSW RNA Institute, Serobian explains his excitement around RNA-based therapeutics, “This type of technology allows us to get into diseases that were previously untouchable, untargetable, or not treatable at all,” he says. “We can go down to and almost influence at a genetic level, especially for cancer, vaccines, and rare genetic disorders.”

Making an analogy with computing, Serobian describes RNA as the ‘software of life’ running on the DNA computer. He invites us to imagine a future in which diseases are cured directly by RNA technology and no longer tackled via symptom treatment, requiring only that the molecules are conceived correctly to make them effective. “RNA is a real game-changer in therapeutics,” he enthuses. “We’ll even go down the path – and there’s already work being done here – of neurodegenerative diseases such as Alzheimer’s, dementia and Parkinson’s disease,” he ventures.But Serobian and his colleagues at the UNSW RNA Institute understand that good science only takes you so far. In a frenetic world where data storage, data sharing, and effective communication is key, life science labs are increasingly adopting digitization to streamline their workflows and speed up therapeutics delivery.

‍Moving towards laboratory digitization

‍The UNSW RNA Institute has recently initiated the adoption of the digital laboratory platform from eLabNext, and remains in the process of developing the necessary systems. Serobian is convinced of the need to implement as much digital technology as possible, emphasizing the efficiency gains and how it provides technology transfer between different process levels, different groups, and across the institute’s network as a whole. Communication is key, as Serobian explains, “A digital platform like eLabNext just makes everything so much more efficient and so much better for information transfer, really communicating the essentials you need for progress and for a project not to lose momentum,” he asserts.Serobian describes a scenario in which a colleague is trying to find a sample or a particular hand-written entry in a notebook from six months ago, that was stored or recorded by a staff member who has since left the organization. This leads him to conclude that “it’s virtually impossible – digitization is crucial, and for any company that supports it and makes that part easier, I think the whole industry will benefit.”

‍COVID-19 – a driver of digitization

‍Serobian reflects in particular upon how he considers the COVID-19 pandemic to have been a proving ground for digitization, simply by dint of medical necessity. “When the virus was spreading all around the world, you had groups working frantically to create a vaccine,” he recalls. “It only became possible because of process and production efficiency and digitization of all that information. It created a critical path and would have been impossible otherwise,” he claims.According to Serobian, AI also contributed significantly to the COVID-19 vaccine effort, and he asserts that developing things quickly when times are critical can only happen when digital technologies are implemented. Matthews concurs, emphasizing “the collaboration aspect of being able to work on these advancements by transferring data quickly and seamlessly across the world.” She further adds, “You’re also saving so much money and time by not repeating failed experiments, for example. You can see where an experiment failed, make that information available to everyone so that no-one else repeats what didn’t work, and find a solution that works far quicker.”Matthews asserts that there is a ‘massive’ trend towards digital platform uptake in general, sometimes incorporating AI and machine learning, and that the Australian market has now seen its value in data use and sharing. She also indicates that eLabNext’s digital platforms have multiple AI plug-ins already that are freely available to their users.

‍What’s next for RNA-based therapeutics

‍Serobian offers an intriguing view of the future, “It’s really about tapping into disease states that we couldn’t tackle before, including infectious diseases, but it will also be used for wider applications of vaccines and to diagnose diseases,” he claims. “We’re going to see it being used as a platform or tool for all those areas. Everything can be tweaked in such a way to create a tool that is almost like a Swiss army knife, if you will,” he concludes.

Read on Select Science

To stay competitive, drug manufacturers are prepping for a future where algorithms control many elements of research and production.

The biopharma industry is rich with opportunities to boost productivity through automation, from computer-led drug discovery to fully validated vaccines rolling off production lines. But these kinds of innovations don’t spring from nowhere — they are underpinned by crucial layers of digital infrastructure in the lab. Tech-conservative firms hesitant to integrate digital tools and solutions such as electronic lab notebooks (ELNs), laboratory inventory management systems (LIMS) or laboratory information systems (LIS) risk being left at a competitive disadvantage when the AI revolution swings into high gear.

“Pharma companies are far behind many industries in terms of digitalization,” says Oliver Hesse, head of biotech data science and digitalization at Bayer Pharmaceuticals in Berkeley, California. “Partly that’s due to the unique challenges we face, but it also comes from being over-focused on avoiding risk or waiting for the proper use case. That’s a trap — you have to take a more holistic view.”With Hesse’s background in high-throughput screening, lab automation and data science, Bayer recently tapped him to manage a worldwide team charged with updating much of the company’s legacy equipment for the information age. The lessons he has learned about establishing seamless information transfer from process development to manufacturing could pay dividends to pharma firms looking to progress from digital record keeping to full-on automation.The value of structured dataWhile dealing with “systems that don’t play nicely together” has been the primary obstacle Hesse has faced, he notes that changing the mindset of researchers reluctant to adopt digital lab platform (DLP) tools such as ELNs and LIMS ranks a close second. To overcome this, Bayer dedicated a team of biotech engineers to work closely with laboratory users to put their needs at the forefront of a custom-built digital platform.“For the past two years, my focus has been to create an infrastructure that captures all of a user’s data, and to help people understand the value of structured data,” says Mehdi Saghafi, a biotech data engineer at Bayer with 20 years’ experience in process development. “After a lot of hand-holding, planning and strategizing, it's really starting to flower.”Saghafi explains that digitalization involves more than replacing paper lab notebooks with tablets, or simply dumping results into ever-expanding hard drives or one-dimensional digital tools. In a truly optimized digital lab, “the data no longer resides on a piece of equipment — it’s available at your fingertips.” The main challenge with implementing this vision, he notes, is finding people with the skill and creativity needed to modernize legacy equipment, workflows and databases using application programming interfaces (APIs).“Every instrument is different, and there’s no manual to tell you what to do,” says Saghafi. “It requires a certain amount of persistence, and many corporations aren’t willing to fund a group to manage the transition.”These sentiments are echoed by Zareh Zurabyan, head of eLabNext America, a DLP provider offering tools such as ELNs and LIMS from its base in Cambridge, Massachusetts. “It’s not like getting a centrifuge or a flow cytometer,” he says. “A digital solution like an ELN becomes the centrepiece of your daily routine. As well as unlocking research insights, having large-scale data at your fingertips will, at a minimum, influence your business strategy. We always recommend clients set up a committee to define what the digital strategy is from the outset.”

A holistic view

The ever-growing need to reduce time to market is driving pharmaceutical companies to adopt more efficient, data-oriented processing techniques. Central to that goal is managing data so it’s in the right place at the right time to learn from it. According to the Bayer team, taking a step back proved key to bringing disparate components together in an integrated infrastructure.“Look at the big picture — what is a bioreactor? A vessel with inputs and outputs. Now how do you control that, how do you fit that into a system?” asks Saghafi. “And think about handling the metadata around that bioreactor: things like the batch, the project, the operator. That’s where an ELN becomes crucial.”A typical process development setup has a hierarchical structure, with supervisory control and data acquisition (SCADA) software sitting at the top directing traffic between programmes such as a data historian and an ELN that acts as a user interface and a central hub for data analysis and process modelling. “There are lots of tools to transfer your lab analytical data, but if you can’t visualize and analyse them all in one place, they become meaningless,” states Saghafi.Zurabyan notes that eLabNext has open API and software development kits that allow just about any lab to push and pull data between instruments with ease. “It’s a modular system with fully indexed components, which makes it more intuitive to use,” he says. “Once you get used to it, you can keep adding more capabilities through our online marketplace, which features some of the top third-party AI tools in the industry. The idea is to build an innovation ecosystem to optimize research and process development.”The ability to find simple solutions for users proved key to driving adoption rates at Bayer. “Don’t overcomplicate things — that was a lesson for us,” recalls Hesse. “If you have 200 codes to memorize, it won’t flow with what you’re trying to do.”

The AI revolution is coming

Although the end user may not need to see it, a considerable amount of infrastructure needs to be in place for the digital lab to be successful. For Zurabyan, labs that make this investment will have a much greater chance of success when the next digital revolution hits. “AI is going to come out of nowhere and change everything,” he says. “When we consult with labs, we really focus on data standardization so it’s accessible to machine learning.”Saghafi likens these proactive efforts to communities paying taxes for new roads. “Sometimes we have to do uncomfortable things, but look — if you’re any good in the lab you already keep a notebook. Spend a bit of time with taxonomy, learn the proper way to capture and reference data with an ELN so that a person who has nothing to do with the lab can analyze it in its proper context.”Even with an expanded digital arsenal, innovation in the pharmaceutical industry still needs a human touch. “If implementation happens at the level of the end users and you partner with them to give them the right software, they take ownership of it,” says Saghafi. “The digital lab platform becomes the pillar of your innovation, capturing everything — your data, your repeatability, your future.”

Read on Nature

Digitizing your lab’s information can be transformative, improving your efficiency, data quality, and security. We’ve written extensively about how to make this transition, the benefits, and the key considerations for choosing one of the many open-source or commercially available software tools. In the life sciences, these tools go by different names: There are laboratory information management systems (LIMS), electronic laboratory notebooks (ELNs), environmental monitoring systems (for freezers and incubators), documentation management systems (DMS), electronic data capture (EDC) systems, equipment management software, sample labelling systems, electronic document management system (EDMS), electronic records management system, electronic lab management system (ELMS), laboratory record book (LRB), scientific data management system (SDMS), Molecular Biology Suites, chemical drawing software, and many others. These platforms each make distinct yet interrelated laboratory tasks easier. Depending on what you want your lab to do better, faster, or more cost-effective, you may use one or several of them to enable your transformative digital journey.

It’s Time to Evolve Beyond the “One-Trick Pony” Platform

But what if there was a flexible, multi-dimensional solution that could navigate every step of the journey with you? Grow with you as your operations grow and need change.At eLabNext, we’ve created a system that does just that, integrating all of the “one-trick pony” software tools mentioned above into a single, easy-to-use platform that can expand its functionality to fit your needs.We call it the Digital Lab Platform.

What is a Digital Lab Platform?

At the core of eLabNext’s Digital Lab Platform is an ELN, inventory and sample tracking system, and protocol manager, integrated for more efficient information storage and management. But what’s truly unique about eLabNext’s platform is our eLabMarketplace, where you can incorporate proprietary, modular Add-Ons. Think of it as the App Store on your iPhone, a central hub where you can customise how you perform laboratory tasks and manage information.The eLabMarketplace contains a library of available Add-Ons. We are constantly improving our collection, updating it with the latest and greatest life science applications for biobanking, productivity, reporting, and more. You also have the option to integrate any 3rd party software or build your own Add-On, giving your Digital Lab Platform nearly limitless ways to personalise your performance.

Benefit #1: Future-Proofed Operations

With the ability to expand functionality at will, your Digital Lab Platform is future-proof, poised for innovation and growth.This feature turns the disjointed digital tools we use daily into a cohesive unit: One Digital Lab Platform to govern all others. It also enables you to harness the powerful and ever-evolving world of computational life sciences. For example, we have recently introduced several AI-powered Add-Ons for image, single-cell, and multi-omics analysis to the eLabMarkeplace platform. Scientists no longer need to utilise multiple programs to grapple with challenging datasets but instead use one cohesive workflow within a single Digital Lab Platform.

Benefit #2: Comprehensive Data Security

Being the premier digital lab platform comes with great responsibility.That’s why we have an 8-fold replication of your data across multiple geographically dispersed data centres. Our fully redundant set of servers is fault-tolerant, so even in the rare event that a complete data centre blackout occurs, it won’t stop you from accessing our digital lab platform and your valuable data.

Benefit #3: API and SDK Technical Support

Even though our API and SDK are easy to use, our team of experienced developers is ready to help you get started. Our life science and IT experts are also more than happy to assist with brainstorming about your great product or services as part of the eLabNext Digital Lab Platform.

Experience a Better Path to Lab Digitization

Digital Lab Platforms can be the foundation of your company’s humble beginnings or a pillar of your global operations. We invite everyone from well-established companies to newly minted startups to implement eLabNext’s Digital Lab Platform and define a better digital strategy. Interested in seeing if eLabNext can serve your lab? Book a personal demo or start a 30-day trial today!

Genomics, proteomics, and other ‘omics technologies have delivered mountains of data and unprecedented insights to life scientists in academia, industry, and government. While powerful, these “big data” techniques have strained some outdated infrastructure, namely the paper lab notebook, for recording, storing, analysing, and distributing information in a laboratory setting.

Take genomics methods, for instance, which generate 10^21 bases per year in sequencing data and approximately 2 to 40 EB (that’s an exabyte; 1 quintillion or 10^18 bytes) per year that needs to be stored. This scale is beyond astronomical: If each byte were an inch long, it would stretch to the moon and back to Earth over 1 billion times. If you add on top of this the digital imaging data and other data-heavy techniques, the mass of data needs to be safe, secure, easily accessible, and sharable (as recommended by good scientific practices and mandated by many funding agencies) becomes overwhelming.

The Successes and Shortcomings of Paper Lab Notebooks

Despite heavy reliance on digital data, the nucleus for data, metadata, data analysis, protocols, and samples, is the paper lab notebook. Dependence on paper is a significant barrier to scientific progress. Paper and digital data don’t integrate seamlessly. Many researchers are forced into a hybrid existence that leads to data loss, issues with replicability and reproducibility, non-compliance with data-sharing mandates, and more. In fact, the NIH reported that problems with non-reproducibility stem from a lack of suitable documentation methods, many of which are associated with using a paper lab notebook.

So, Why are Paper Lab Notebooks Still Around?

Electronic Laboratory Notebooks (ELNs), which can offer a software solution for taking notes, data storage, and information organization, provide incredible advantages over paper lab notebooks.

Yet, many researchers enjoy the freedom of hand-drawing workflows or chemical structures, which can be done while wearing personal protective equipment (PPE). There’s also the need to learn a new software program, which can sometimes be complicated, mainly when it’s not intuitive to use and the user experience hasn’t been adequately considered. Ultimately, this leads to a low incentive to change their information management practices or adopt new ones.

3 Advantages of an Electronic Lab Notebook (ELN)

No doubt about it: Changing entrenched habits – even those that create inefficiencies and data loss – is hard.

However, the current data management challenges that many labs face are standing in the way of the scientific advancements enabled by big data.

ELNs offer an opportunity to improve the status quo, removing impermanent paper notebooks and insecure storage systems.

Reason to use an ELN #1: Promoting Reproducibility

Reproducibility has always been a significant issue in science. Yet, data collection and computation complexity is growing with the increasing reliance on big data, bioinformatics analysis, and many software tools. With it, the potential for additional issues with reproducibility increases.

ELNs offer a path towards better documentation of research workflows, revision tracking, and data management, helping other researchers repeat experiments in the future, preventing data loss, and enabling an efficient review process for all data.

Reason to use an ELN #2: Improved Accessibility

Ever tried flipping back through your old experiments or someone else’s to find a critical protocol or dataset? Paper lab notebooks make it notoriously difficult to locate historical records. It can be time-consuming to comb through older entries, even if there are user-constructed indexes or a table of contents.

The benefit of an ELN is that a user can quickly search protocols, entries, samples, or datasets using simple keyword queries, time ranges, metadata tags, or users. This also makes entries easy to re-order and sort, whereas, with a paper lab notebook, you’re locked into chronological ordering.

Reason #3: Instant Sharability

Collaboration and partnership are part of science; whether working with someone in the same bay or internationally, sharing critical information is necessary. With paper lab notebooks, sharing information with your colleagues is a time-intensive process that involves locating and scanning the applicable entries.

ELNs offer an attractive alternative, bringing Google Doc-like ease to sharing information. View/edit permissions can be granted instantaneously to entries, protocols, and datasets, regardless of geographical location.

Embrace the Advantages of Electronic Lab Notebooks

ELNs offer many other benefits that can transform laboratory operations and increase productivity.

Download the "Bringing ‘All Digital’ to Your Lab" whitepaper to learn:

• Drawbacks of using a hybrid information management system in the life sciences
• Why going “all digital” now will save you time and money in the long run
• More benefits to using an ELN for storing and tracking your life science data
• How eLabJournal can solve your paper lab notebook problems
• Why Deka Biosciences uses eLabJournal

eLabNext digital lab platforms may now connect with Clustermarket’s lab equipment management system. With this partnership, users can further optimize their laboratory workflows.

Download Clustermarket Press Release Document

Accelerate research with innovative lab tools

Technology is constantly evolving and changing our lives–this is no different for R&D laboratories. The changes brought about by innovative technologies have accelerated the way research is conducted and the speed at which discoveries are made. As the number of R&D increases, so do other aspects of the laboratory, such as manual administrative and reporting activities. This can be burdensome for researchers. The growing availability of advanced lab technology and automation tools can help significantly reduce workloads and boost productivity. For example, removing any paper-based processes allows researchers to collect and save data more securely, collaborate on projects more efficiently, and speed up the production of scientific breakthroughs.

While the availability of lab tools is increasing, many labs are still struggling to enter any adoption phase. In some instances, laboratories have difficulty deciding on which tool to adopt. Some labs use several systems for different aspects of their workflow, which can lead to a series of decentralized data. While eliminating manual administrative work might sound like a dream, using multiple digital tools often requires managing mixed digital and non-digital processes, which decreases the operational efficiency in a lab. This is where digital connectivity comes into play–to achieve a fully digital and optimized lab environment, all processes, people, and systems need to connect to allow data harmonisation easily.

A Centralised Platform

We have partnered with Clustermarket–a leading digital lab solution provider for equipment management–to take a leap towards the digitally connected lab and provide more seamless movement between our offered systems for R&D laboratories. Users may now synchronize their booking information, book equipment directly on their eLabNext account, and automatically import usage information to their equipment notes.

A Free Add-on is Available Today

Optimize operations and accelerate research results with the world-leading management system seamlessly integrated with your eLabJournal or eLabInventory. The Clustermarket's Equipment Scheduler add-on, developed in partnership with Clustermarket, is now available free of charge in the eLabNext Marketplace. If you do not yet have an account with eLabNext, sign up for a free 30-day trial to explore the platform features.

Learn More

***PLEASE NOTE: Only available for dedicated installations.***

ChemAssist offers a wide range of features to support chemistry labs and researchers in expanding digital lab capabilities. eLabNext is currently seeking users interested in becoming beta testers of this add-on to collect feedback for feature improvements. As beta testers, users will receive an extended 1-year free trial of ChemAssist. At its full release, ChemAssist will be offered as a paid add-on.

If you are interested in becoming a beta tester, please contact us.

IMPORTANT! Please note:

• Beta testers have free access for 1 year.
• A MarvinJS license is required to use this add-on.
• Beta version is only available for dedicated installations.
• Consequently, no trials are available within the Public Cloud environment.

ChemAssist presents 5 distinctive new features that work seamlessly with eLabNext modules:

1). Chemistry Registry with structural drawing

• A new Sample Field option, 'Chemical Structure,' to draw chemical structures for viewing and searching.
• You may use the Set Parent and Lineage features from eLab Marketplace to symbolize derivatives of molecules and compounds.

2). Chemical Structure rendering in Registery and ELN Rxns

• Display Chemical Structure in Sample List and Experiment sections.
• This visual cue is designed to be easily accessible to assist chemists in quickly identifying molecules of choice rather than searching by name or properties.

3). Fingerprinting and Searching Capabilities

Fingerprinting provides instant screening of your full chemical registry via 3 methods based on your chemical drawing or SMILES structure:

• Similarity Search via percentage

• Substructure search

• Exact Search

4). SMILES integration

• Import molecules as part of your Chemical Registry–using the SMILES structure
• Search molecules from the registry–using the SMILES structure
• Search reactions from the ELN–based on the SMILES Structure

5). Complex Chemical Reaction Drawing and Reaction Table Generation/Analysis

• Use chemical structure drawing (via ChemAxxon from MarvinJS) to execute reactions which auto-generate a reaction table that:
  • Auto-syncs with IUPAC and CAS
  • Auto-renders molecular weight
  • Supports Structure Activity Relationship (SAR) Analysis
  • Has the potential to sync with chemical registry/inventory

How to become a beta tester:

If you are interested in becoming a beta tester, please get in touch with your dedicated account manager or fill out our contact form.

eLabNext is proud to announce that we are now part of the TetraScience Partner Network -the largest ecosystem of partners dedicated to unlocking the power of R&D data for pharmaceutical and biopharmaceutical customers.

“By joining the Tetra Partner Network, eLabNext helps the life sciences industry to accelerate discoveries that can help improve lives.”

Patrick Grady, Chief Executive Officer, TetraScience

Read the full Press Release

Read the blog post feature for an extensive Q&A

eLabNext and biotech start-up, Rewire Neuro, Inc., announce their new platform integration Pipsqueak Pro. The Pipsqueak Pro add-on integrates the platform to eLabJournal to accelerate image analysis capabilities, improve detection, and eliminate human error through automated machine learning (ML).

Pipsqueak Pro was born in the lab–developed by scientists to rapidly speed up manual image analysis, cellular quantification, and multi-channel (colocalization) analysis for both image and video media. The platform uses a patented machine learning system to improve your ROI predictions with minimal user input. Their AutoML™ process customizes the AI’s detection capabilities to your needs and improves your lab’s analysis workflow.

Utilizing AI in the Research Environment

Research and discovery groups must embrace automation and machine learning for redundant, tedious work that clogs up the lab’s workflow. Free up your team to conduct high-value work like writing grants, publishing articles, and improving the quality of scientific discovery. Creating an environment where specific processes are automated empowers research professionals to focus on tasks that cannot be easily replicated by computers while improving the efficiency and productivity of the lab.

Why Choose Pipsqueak Pro

• Customized Cell Detection and Quantification. Using powerful AI models customized for you, Pipsqueak’s custom AI trainer automates cell detection capabilities to improve your specific image analysis's speed, accuracy, and precision.

• Secured Cloud-Based Processing. Your data is secure in the cloud-based storage system, and your custom models are exclusive to your lab’s use.

• Streamlined Research and Development. By processing more data quickly and accurately, your lab may move on to answer more research questions and close the time gap between experiments.

How It Works

Using a single sign-on, eLabNext customers may upload their images directly to their digital lab notebook, run their analyses through the Pipsqueak Pro add-on, and export the annotated images and cellular measurements back into their journal.

> Would you like to try Pipsqueak Pro free for 30 days? Sign up for a Free Trial

Click above to sign up for a free 30-day trial. After your 30-day trial, eLabNext customers will receive a special discount: Purchase your Pipsqueak Pro Lab license for $1,999 after a 20% discount when you use the code “ELABNEXT” at checkout.

> Ready to expand your ELN with ML capabilities? Purchase Pipsqueak Pro License

eLabNext brings self-service AI (Artificial Intelligence) technology to the forefront of research and process development by launching a new add-on in eLab Marketplace.

Install the add-on to extend the functionality of your ELN and optimize your image processing power—developed in collaboration with Modicus Prime.

Modicus Prime specializes in creating custom AI/ML solutions for life science data based on the parameters set by your life science laboratory. Their self-service AI Particle Classification tool, mpVision, solve challenges in anomaly detection, monitoring, and enhanced decision-making.  

Deep analytics with AI technology

Developed using mpVision features, this add-on obtains deep analytics through AI technology. Eliminate labour-intensive pressure for labs that need to analyze thousands of images in their daily research, such as Microscopy. Through AI, results are delivered faster and more comprehensively.

How does it work?

Users upload images of particulates—from biologics to crystals—and train the AI to identify their unique image content. The result is real-time processing of any image data for a comprehensive understanding of sample content.

mpVision add-on features:

• Particle Detection and Image Quality Control. The Image Quality Control panel gives end users complete control over detected and self-labelled particles. End-users determine the sensitivity of the particle detection algorithm, offering broad applicability across control runs, DOE’s, medical devices, commercial processes, and much more.
• Image Labeler. Customize particle labelling for AI training to enable the self-identification and self-labelling of particles in each image. Training data is generated for new particle identities with the Image Labeler Interface.
• AI Processing. Automated processing pipelines are provided for AI Training and AI Inference. The AI Training interface provides a real-time update on the neural network’s learning trajectory. AI Inference classifies particles on unseen data, allowing the end-user to choose from the library of their self-trained models.
• Analytics Reporting and Visualization. The particle statistics and classification results are compiled in the Reporting Interface. Additional reporting format options (including CSV and PDF) may be generated. Customizable client-driven visualizations are provided for desired data insights. Examples include comparisons between medical devices or production sites for scale-down analysis.

Research smarter with the new Modicus Prime mpVision add-on. Available for use with eLabJournal and eLabInventory.

Ready to extend the functionality of your ELN with AI technology?  

The Modicus Prime mpVision add-on is free and available for installation in eLab Marketplace.

Not yet using eLab? Try the add-on free for 30 days in a free trial. Sign up now!

eLabNext launches a new AI (Artificial Intelligence) powered add-on developed by ImmunoMind. This collaboration allows eLabNext users to leverage their existing data as input in the ImmunoMind platform. This data helps guide users through translational and clinical research to help better understand T-cell therapies using computation immunology and AI technologies which enhances the reports from eLabJournal with the results from multi-omics driven drug development and manufacturing.

ImmunoMind is a moonshot startup—graduated from UC Berkeley SkyDeck—that helps companies and medical centres select safer and more effective CAR-T and other Cell Therapies. By using proprietary multi-omics and AI technologies, their platform allows early and comprehensive assessment of potential candidates.

How it works

The ImmunoMind add-on precisely identifies both cell subpopulations (e.g. Tscm, Tcm, Tem, Treg, NK, gdT cells) and their characteristics (e.g. exhaustion, senescence, activation) to create a comprehensive profile of CAR-T and other Cell Therapy products. The profile can help select the most effective design and dosage for CAR-T, improve QC and SOP to select T-cell subsets (such as Tscm and T-cell precursors), assess exhaustion and persistence of CAR-T cells in vitro and in vivo, and more. The platform supports Go/No-Go decision-making and reduces the risk of immunotherapy development and manufacturing.

Collaboration at its best

eLabNext values efficient and secure collaboration within the lab and across departments. We provide digital solutions to align all diverse teams within an organization. With this integration, you will be able to bring forward the synergy between biologists, medical scientists, data scientists and bioinformaticians. We value the resources it takes to follow through with all the stages of drug development and manufacturing—which is precisely why we put our efforts into providing everyone with an automated and streamlined process.

The ImmunoMind add-on is free and available in eLab Marketplace

Install the free ImmunoMind add-on to connect eLabJournal with the ImmunoMind platform for more enriched reporting.

Not yet using eLab? Try the add-on free for 30 days in a free trial. Sign up now!

eLabJournal and eLabInventory users in Europe may now install and utilise the Elemental Machines sensors. This was previously only available to USA users.

How do the Elemental Machines sensors work?

The wireless Element T temperature sensors can be applied to every freezer, refrigerator, or general lab environment. The inventory module in eLabJournal or eLabInventory will automatically collect the complete temperature history of the chosen inventory spaces.

Whether your samples require room temperature storage, standard refrigeration, or freezing at low, ultralow, or cryogenic temperatures, Element T sensors will instantly alert you of any off-specified conditions via Bluetooth, Wi-Fi, or cellular network connection.

Apart from temperature readings, Element A and Element T sensors provide other environmental information that may be pertinent to experiments but are not often monitored. For example, humidity, light, and pressure.

Why is this important?

An accurate and complete history of your laboratory storage space allows researchers to improve the repeatability of life science experiments. Researchers may ensure that biological samples are preserved to maintain the quality and viability of biological reagents and therapeutics.

The Elemental Machines add-on is free to install from eLab Marketplace

Schedule your free personal demo today!