We asked lab managers… What do you love most about Sample Manager?

Sample Manager, sample management softwareIt’s no surprise that our users are overwhelmingly happy with the ease and efficiency that Sample Manager has brought to their labs. After all, Sample Manager was created in close consultation with labs of all shapes and sizes to ensure that we were creating the best sample management software on the market. We recently asked lab managers what they love most about Sample Manager and how it has impacted their labs. Their responses varied, but all shared a common theme- Sample Manager makes lab work easier and faster.   

“Sample Manager is so easy to use. It makes all of our days easier and more productive.”

With a beautifully simple user interface and intuitive features that are essential for modern laboratories, Sample Manager is designed to bring ease and efficiency to sample management tasks. From bulk importing and storing samples to tracking lab workflows and managing data, Sample Manager makes the management of lab samples faster and easier than ever before. 

“The Sample Timeline is amazing, I can finally see the complete history of a sample and who in the lab has touched it.”

Our Sample Timeline feature provides an audit-ready view of the complete history of each sample. By reviewing the chain-of-custody, you can easily see the “who, what, when and where” for each event in the timeline of a sample. Events may include sample registration, storage changes, sample check-in/check-out events, assay runs and more. The sample timeline can also be exported to Excel for further analysis and review.

“No more searching for lost samples! The freezer management features alone have saved us so much time.”

Helping our users efficiently search their sample inventory and manage their freezer storage is a core function of Sample Manager. Our flexible freezer management tool allows you to create an exact match of your physical freezer storage options within the application. You can also use our Sample Finder tool to build custom queries to search, group and take action on related samples.

“The lineage tracking capability has been a gamechanger. We can now easily tie samples back to their sources and aliquots that have been created.“

Tracking samples and their derivatives has been made as easy and intuitive as possible within Sample Manger. Using a visual lineage tree, users can easily see the context and details of samples including all sources and aliquots. We’ve also streamlined the creation of aliquots from samples to boost efficiency in the lab. 

Learn More About Sample Manager:

Clinical Sample Management – 4 Essential Questions for Better Tracking & Compliance in the Lab

Clinical sample management poses unique compliance challenges for laboratories. Sample collection, tracking and consent all become more regulated (GLP, GCLP, HIPAA) when managing clinical samples, and require a greater depth of record-keeping and reporting. Although keeping up with these regulations can seem like a daunting task, you can simplify and get a good start on improving regulatory compliance by focusing on 4 basic sample tracking questions: What? When? How? and Who?.

Clinical Sample Management

Lab staff should be able to answer these questions for every clinical sample managed in the lab. In order to do this, your lab will need to capture all details around the collection, receipt, storage, processing and handling of samples. With each sample requiring the capture of so many data points, it is essential to have modern sample management software designed to support the management of clinical samples.

What? – Fully and accurately define your samples, sample types and sources.
Document the type(s) of samples you will receive/create including the descriptive metadata that you want to collect for each sample type. Make sure to consider the source of the sample (perhaps a clinical trial participant), derivatives, and any other related details you need to capture. 

When? – Track dates for everything related to your samples.
Capture dates for all events in the lifecycle of a sample including when it was collected, received, processed, stored, and shipped. This data should be readily available and exportable for further analysis during an audit.

How? – Capture everything that has been done to your samples in detail.
Track step-by-step how tasks were performed in the lab in relation to a sample. This includes all of the steps taken during sample receipt, checking of tubes for breakages or possible contamination and documenting storage conditions. Utilize a sample management system to capture SOPs in lab workflows and audit trails.

Who? – Capture who has worked with your samples.
Capture who in the lab performed any work or handling of the samples. This is both valuable for accountability and troubleshooting in the lab as well as for supplying auditors with additional information that they may need.

Clinical Sample Management with LabKey Sample Manager

Clinical Sample Management and TrackingEfficient and compliant management of clinical samples requires sample management software that is both powerful and easy to use. Sample Manager is a cloud-based sample management system that helps:

  • Track the full history and chain of custody for each sample.
  • Register and define samples using all relevant metadata 
  • Manage task-based workflows that accurately reflect SOPs
  • Support barcoding and unique, human-readable sample ID creation
  • Easily manage freezers and sample storage 

Click here to learn about Sample Manager and take a product tour!

What’s New in LabKey 22.3!

LabKey Server

  • The Text Choice data type provides an easy way to define a set of expected text values for a field. (docs)
  • Sample naming patterns are validated during sample type definition. Example names are visible to users creating new samples. (docs)
  • Queries can be included in published studies. (docs)
  •  Ontology insert and update forms now support type ahead filtering for quick input into ontology lookup fields. (docs)

Sample Manager

  •  Sample Finder: Find samples based on source and parent properties, giving users the flexibility to locate samples based on relationships and lineage details. (docs)
  •  New Storage Editor and Storage Designer roles, allowing admins to assign different users the ability to manage freezer storage and manage sample and assay definitions. (docs)
  •  Redesigned main dashboard featuring storage information and prioritizing what users use most. (docs)

Biologics

  •  ELN Improvements:
    • Notebook entry locking and protection: Users are notified if someone else is already editing a notebook entry and prevented from accidentally overwriting their work.
    • Find notebooks easily based on a variety of filtering criteria. (docs)
  • Freezer Management for Biologics: Create a virtual match of your physical storage system, and then track sample locations, availability, freezer capacities, and more. (docs)
  •  User-defined barcodes can also be included in sample definitions and search-by-barcode results. (docs)

Premium Resources

See the full Release Notes 22.3 (March 2022)

What’s New in LabKey 21.11

LabKey Server

  •  Cloud: Import folder archives and reload studies from S3 storage. (docs)
  • Specify a custom date parsing pattern. (docs)
  • Subscribe to notifications of changes to specific datasets (docs)
  • Improved visibility options for user-defined queries in the schema browser. (docs)

Sample Manager

  •  Improved interface for managing workflow templates, jobs, and tasks. (docs)
  •  Edit sources and parents of samples in bulk. (docs)
  •  Manage sample statuses like available, consumed, and locked.
  •  Customize the aliquot naming pattern. (docs)
  •  Record the physical location of freezers you manage, making it easier to find samples across distributed sites. (docs)

Biologics

  •  Sample detail pages include information about aliquots and jobs. (docs)
  •  Customize the names of entities in the bioregistry (docs)

Premium Resources Highlights

For the full release notes, click here.

Integrating Benchling Data in LabKey at Inzen Therapeutics

At Inzen Therapeutics, the data science team uses LabKey Server as a one-stop-shop for data warehousing. Their goal is to help bench scientists quickly answer questions about their data. Through LabKey’s API, Inzen can access previous experiments and run downstream analyses on proteomics and phenotypic assay data. This enables Inzen to better understand the intercellular signals sent during execution of cell death programs, which they have termed “thanokine biology.”

Integrating Benchling Data with the LabKey API

Lab scientists at Inzen use Benchling, a suite of tools used for notebook management, molecular biology, and inventory tracking. It includes its own data warehouse, which contained the sample metadata. However, data scientists at Inzen use LabKey Server for other lab data management functions including storage of all omics data, metadata on measurements, hit lists from previous experiments and curated annotation sets. To help their scientists, Inzen knew they would have to integrate the Benchling data warehouse with LabKey to establish a single source of truth and develop core analytical pipelines. 

Watch the video below to learn how the data science team at Inzen integrated disparate data streams from Benchling and LabKey using the unified LabKey API.

Want to learn more? Request a Demo.

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Biomarker Sample Management at Candel Therapeutics

Candel Therapeutics is using LabKey Sample Manager to manage biomarker samples from the clinical sites where they’ve been collected all the way to the externally performed assays.

At the LabKey User Conference, Jessica Dwyer, Biomarker Operations Manager at Candel Therapeutics, shared how her organization is using LabKey Sample Manager for biomarker sample management. Her presentation covers the process of selecting a sample management software, reasons for choosing sample manager, and how Candel is now using the application. 

Candel is an oncolytic viral therapy company producing therapies to target solid tumors. Their approach to immunotherapy centers on oncolytic viruses that induce immunogenic cell death at the site of injection which then unmasks tumor neoantigens. This process has been shown to create a systemic immune response against tumors with evidence of clinical and biomarker activity demonstrated across several solid tumors. The feasibility and tolerability of this approach has been demonstrated in over 700 patients across multiple phases of trials.

Prior to LabKey Sample Manager, biomarker samples from clinical trials were being tracked using excel
spreadsheets. The drawbacks of managing biomarker samples in this way included:

  • Time wasted searching for the latest versions and interpreting data
  • Lack of audit trail and consistency of data between studies
  • Ineffiecient processes for registering and tracking samples

Candel Therapeutics evaluated three different biomarker sample management solutions including Sample Manager. They were looking for software that provided a complete and searchable audit trail, required minimal implementation time and had features that met their needs without work-arounds. After evaluating the options, LabKey Sample Manager was chosen as the solution that most closely matched these requirements. Sample Manager was chosen due to:

  • LabKey’s specialization in the management of clinical trial samples
  • Aliquot features
  • Sample relationship features (data from sample types and sources can be tracked)
  • General ease-of-use 

Watch the video below to learn more about how Candel Therapeutics is using LabKey Sample Manager.

Want to learn more? Request a demo of LabKey Sample Manager!

[vc_video link=”https://youtu.be/YH1ys6VdNdQ”]

Essential Biopharma Software for R&D Data Management

Biopharma software is an essential tool for managing R&D data of modern biotech organizations. Biologics development is a data-driven endeavor involving many development stages and cross-functional collaboration. The inherent complexity, variety of disciplines producing data, and the sheer volume of data can easily pose a challenge to biopharma research organizations. Many research teams are using general-purpose data management tools (spreadsheets and files) or systems purpose-built for a single data type. This approach can lead to problems in tracking data and duplicating work. This blog post focuses on key considerations when selecting biopharma software for managing R&D data. 

biopharma software

Biopharma data management challenges include:

  • Integrating data generated from disparate scientific specialties
  • Difficulty in finding and highlighting important data (leading to duplication of work)
  • Variabilities in data structure and conventions
  • Lack of visibility into data provenance

These challenges make it difficult for biopharma researchers to answer some basic scientific questions about their data:

  • Do I have the data I need?
  • What is this data? (structured data model, definitions)
  • Where did this data come from? (data provenance, audit history)
  • How and why was it generated? (reproducibility, workflow processes)

Biopharma software can help centralize research data and enforce data standards. This allows for quick and confident answers to the questions scientists ask about their data. Along with data capture, standardizing and monitoring processes is critical to tracking biopharma R&D activity and reducing data inconsistencies.

Biopharma software should include integrated tools for data management.

The LabKey Biologics LIMS provides a central bioregistry with integrated assay data capture, workflow management, and a “data-connected” electronic lab notebook. We consider these to be the pillars of a comprehensive biopharma software solution for data management.

Bioregistry

A bioregistry helps scientists define, register, and review interconnected biological entities and their samples. By centralizing biopharma R&D data, researchers can easily find, view, and navigate through entities, their lineage, and data relationships. For example, using a bioregistry, scientists can easily find a specific molecule and see all the related sequences, samples containing it, and related assay data.

Assay Data Management

Assay data is the decision-making criteria for discovery, process development, and quality. It is generated by all contributing teams and its relevance endures throughout. Having a central, structured, and workflow-related assay data capture mechanism is essential for streamlining decision making, hand-offs, and post hoc analysis. It ensures that consistent data structures are used throughout the biopharma development process, sets expectations for needed data, and makes clear where critical data can be found.

Electronic Lab Notebook

An ELN is designed to help scientists efficiently organize and document their ongoing research. A data-connected ELN provides even more value by having access to the bioregistry, assay, and sample data captured so that additional work is not required to find and include it. This integration paradigm maintains data integrity while enabling easy data exploration and collaboration.

Workflow Management

Defining collaborative biopharma workflows helps set expectations for contributors and managers. It supports the fulfillment of material and data needs and prepares the way for process optimization, scheduling, and cross-team alignment. These workflow tools facilitate strategic experimentation, simpler data hand-off, and easier planning.

Biologics LIMS- Biopharma R&D software designed for efficient data management.

Biologics LIMS is a powerful suite of integrated tools to help scientists manage biologics research data, improve lab processes, and collaborate efficiently. The software provides biopharma researchers with streamlined registration and tracking of biological entities and samples in a central bioregistry. The bioregistry is seamlessly integrated with tools for workflow management, assay data management, and an electronic lab notebook (ELN). This combination of software tools forms a cohesive application that serves as a central hub for managing biotherapeutic development data, processes, lab notebooks, and collaboration efforts.

LabKey Biologics helps scientists:

  • Speed up decision-making with unified ELN, bioregistry, workflow, and assay data management tools
  • Centralize and connect data for a holistic view of your data landscape and interrelationships
  • Manage and optimize lab processes with a workflow tool designed for biopharma R&D

Click here to learn more about LabKey Biologics and take a product tour.

Scientific Collaboration with LabKey Sample Manager

Many researchers are continuously seeking ways to boost scientific collaboration. As with other disciplines, enabling scientific collaboration requires the right tools and processes. This is especially true when researchers are sharing samples that need to be tracked at each step of their lifecycle. For some labs, collaborative sample tracking involves a piecemeal approach of emails, spreadsheets, and whiteboards to give teams some visibility into the next steps, assigned work and upcoming projects. This method of sample tracking is highly prone to error and can easily get unwieldy as a lab grows or the complexity of sample processing increases. 

Finding a sample management software that tracks samples throughout their life cycle while also enabling scientific collaboration is imperative for the modern laboratory. Sample Manager has been designed by scientists, for scientists, to help get work done in the lab. We have created a tool that integrates sample registration, storage, experimental data and work assignment for doing all your sample-related work in a single application. Below are a few features that help enable scientific collaboration in the lab.

Workflow Management for Scientific Collaboration

Our task-based lab workflow management tool allows teams to capture the exact work that needs to be performed on samples. Using customizable templates, labs can easily standardize processes and create workflows that accurately reflect their SOPs. Common lab processes like sample receipt, shipping preparation, processing, and assay requests can all be managed using the Sample Manager workflow tool. For each workflow, samples are selected for inclusion in the job, tasks are assigned to individual team members, and notifications communicating the status are sent. The ability to set due dates and the priority of the work allows teams to plan and prioritize work appropriately. 

Freezer Management/Sample Location Tracking

Our sample-centric freezer management tool gives teams insight into freezer capacity and the physical storage of samples. Team members efficiently work in an intuitively designed virtual freezer environment, capturing notes for freeze/thaws and displaying those in the Sample Timeline. Users can quickly understand storage capacity, relative sample breakdown, and overall sample status across storage units in the lab.

Picklists

Teams can create private or public Picklists of samples to generate pull lists, manifests or any other type of list that would be useful for tracking and sharing samples. Sharing picklists with team members enables visibility into user-curated lists of samples and reduces the need for exporting, printing and emailing lists of samples to team members. Shared Picklists can be used to print labels, check samples in and out storage, and add samples to workflow jobs. 

Click here to learn more about Sample Manager and take a tour!

What’s New in LabKey 21.7

LabKey Server

  •  File Watchers – Use file watchers to automate the import of sample and assay data.
  •  Ontology Concept Picker – Improve data entry by guiding users to a specific part of the concept hierarchy.

Sample Manager

  •  Study/Sample Integration – Add samples to studies and associate them with specific participants and timepoints.
  •  Aliquots – Create aliquots of samples singly or in bulk.
  •  Picklists – Create and manage picklists of samples to simplify operations on groups of samples.
  •  Move Storage Units – Track movement of storage units within a freezer, or to another freezer.
  •  Barcode/UniqueID Fields – A new field type, “UniqueID”, generates values when samples are added to a Sample Type or when the barcode field is added to an existing sample type.

Biologics

  •  Electronic Lab Notebooks have been added to LabKey Biologics. Link directly to data in the registry and collaboratively author/review notebooks.
  •  Hide Sequence Fields – Nucleotide and Protein Sequence values can be hidden from users who otherwise have access to read data in the system.

Premium Resources Highlights

Click here to read the full 21.7 Release Notes

5 Electronic Lab Notebook Features Scientists Can’t Live Without

ELN features An ELN (electronic lab notebook) is an essential software tool for documenting experiments, reviewing compiled results, detailing meaningful conclusions, and collaborating with team members. As scientists work with increasing volumes of data, concerns over data reproducibility, data integrity, intellectual property and security/compliance have led to the wide ELN adoption in nearly every scientific discipline. Once viewed as little more than a paper-on-glass/word-processing application, ELN features have grown to meet the complexities of modern-day research. Below we outline some essential ELN features to look for when evaluating an electronic lab notebook for your organization.

ELN Feature Areas to Consider:

1- Ease of use
The ELN you choose should be easy to use and implement. This is especially critical in driving adoption within the organization. That means the user interface should be intuitive for common functions. Ideally, your new ELN should not require extensive training to learn nor require sophisticated integrations with other software to be useful.

2- Templates
The ability to create and use templates of common notebook forms saves time by reducing duplicative work. The ability to quickly modify templated entry types is an essential feature for saving time and improving overall work satisfaction. By creating templates for specific scenarios such as purifications, cell passaging, or repeated analytical work, your team can save time and standardize the formatting of notebook entries.

3- Data Links/Connection
Compiling data for meaningful write-up and conclusions should not require a huge investment of time and effort. By far the easiest way to surface data is for your ELN to have direct access to your underlying data management system that captures the data. This puts your relevant data at your fingertips while authoring and only external data will require effort to incorporate. Directly referencing data not only saves time, it also promotes data integrity and ensures that valuable data remains at the forefront of the decision-making process during the R&D lifecycle.

4- Attachments and Images
External files and images are important components of complex workflows. It should be easy to incorporate them into notebook entries in various formats such as pressure traces, spreadsheets, images, CoA’s or other QC documents, and SOP’s. The ability to bind these files with your signed notebook contents and view the attachments with a notebook entry can also be a huge time saver.

5- Collaborative Features
In the highly collaborative research environments of today, it is essential to have an ELN that makes it easy to work with other contributing scientists. The ELN should support collaborative authoring and a streamlined sign-off/review process for notebooks. It should be easy to find the notebooks that need your attention, comment or review. You should also receive reminder notifications for these actions when you aren’t in the application. These collaborative features facilitate important discussion and encourage timely and accurate documentation of work.

About the Biologics LIMS ELN
Biologics LIMS includes a full-featured electronic lab notebook seamlessly integrated with the Bioregistry, Assay Data and Workflow Management tools. This user-friendly ELN allows scientists to:

  • Save time authoring and reviewing notebooks with templates, notifications and an intuitive interface
  • Highlight valuable data by linking directly to bioregistry entities, samples and assays
  • Collaboratively document and discuss notebook entries and referenced data

Click here to learn more about LabKey Biologics.