Advanced Applications with Thrive Technologies

Supporting the Next Generation of Cell Biology Research

Explore Our Case Studies

Enabling Quantitative Cell Biology for Precision, Efficiency, and Insight

Thrive Bioscience's suite of cell biology solutions empowers researchers by enhancing the quality and depth of data across a wide range of applications. Thrive systems enable researchers to push the boundaries of discovery with greater precision and efficiency. From tracking cell growth to documenting complex biological processes, our solutions deliver detailed, reproducible, data-driven insights crucial for advancing research.

Transforming and Improving Common, Labor-Intensive Techniques

Thrive Bioscience's instruments and software provide critical support for a variety of applications that require advanced live-cell imaging. Our products are designed to assist you in conducting:

Automated Cell Counting:

Accelerate and enhance the accuracy of cell counting, reducing variability and ensuring consistent results across experiments.

Growth Rate Analysis:

Track and analyze cell growth over time with high precision, providing valuable insights into cell behavior and culture conditions.

Data Logging and Documentation:

Automatically log and document all stages of the research process, creating a detailed, traceable record that supports reproducibility.

Confluence Measurement:

Accurately measure confluence to monitor cell proliferation and ensure optimal conditions for experimental success.

Accelerate and enhance the accuracy of cell counting, reducing variability and ensuring consistent results across experiments.

Track and analyze cell growth over time with high precision, providing valuable insights into cell behavior and culture conditions.

Advancing Live Cell Imaging in Key Research Areas

Stem Cell Research

Empowering scientists with time-series imaging to track each cell division and to determine if large colonies originate from a single cell for clonal expansion. In the image, the arrow points to the single cell that grew into a colony.

The precise monitoring of stem and pluripotent cell differentiation and proliferation is vital for advancing regenerative medicine and developmental biology. The CellAssist Systems' monitoring platforms maintain optimal conditions for cell growth, while its generating label-free 3D-rich data of cell structures. Combined with our robust data capture and analysis software, researchers can track subtle changes over time, identify differentiation patterns, and gain deeper insights into stem cell behavior.

Drug Discovery and Development

Accelerating Therapeutic Innovation

The high-throughput screening of drug candidates is often dependent on understanding cellular responses to treatments. CellAssist 50 System provides detailed, time-lapse imaging data across up to 50 well plates at a time to help reveal drug effects on cell morphology, viability, and function. This rich dataset speeds up the identification of promising therapeutics, helping to bring new drugs to market more efficiently.

Organoid Research

Enhancing Disease Modeling and Personalized Medicine

Patient-derived organoids are at the forefront of personalized medicine and disease modeling. The CellAssist Systems support detailed 3D imaging of organoids, enabling researchers to observe and analyze the development of complex tissue structures. This technology allows for the precise study of disease mechanisms and the testing of therapeutic responses, offering critical insights that drive personalized treatment strategies.

Migration Assay

Advancing Tissue Regeneration and Repair Studies

Wound healing research requires precise monitoring of cell migration and tissue regeneration. The CellAssist Systems provide high-resolution, time-lapse imaging that enables researchers to observe wound closure processes in real-time. This capability is essential for understanding the mechanisms behind tissue repair and developing new treatments that enhance healing outcomes.

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Case Studies

Analysis of Outliers to Improve Quality

The CellAssist Systems improve the quality and documentation of cell cultures.

Problem: Current tools do not collect images and data along with tools that enable users to visualize outliers. Outliers are important because they may indicate problems in quality that require investigation.

Objective: Document and analyze images and data on cells over time to improve the quality and reproducibility of cell, tissue, and suspension cultures.

CellAssist Solution: The CellAssist Systems provide comparable data over time that allows for the identification of outliers. (In this example, upon further investigation, the customer found cases of mislabeling.)

Monoclonality Probability of Candidate Colonies

CellAssist improves quality and increases yield by using data to grade and pick colonies.

Problem: Gene editing transfection rates can be poor, so selecting monoclonal colonies for passaging is crucial.

Objective: Accurately determine whether a colony is monoclonal by capturing a series of time-lapse images with excellent registration across scans.

CellAssist Solution: The CellAssist Systems' time-lapse imaging enables the lineage of candidate colonies to be tracked to a single starting cell.

Morphological Assays for iPSC to Glial Cell Transformations Morphological assays do not disturb cell growth

Morphological assays do not disturb cell growth

Problem: Differentiation of neuronal progenitor cells into glial cells was measured using fluorescence-based endpoint assays, which did not allow for further growth and study of the cells. An equivalent assay was needed based on imaging of live-cells.

Objective: Acquire high-resolution images that are comparable over time to study differentiation without dyes and/or probes that interfere with the cells and colonies.

CellAssist Solution: The CellAssist Systems' high-resolution stacks of images, with highly accurate registration across scans, enabled the characterization of cell morphology without disturbing the cells and colonies.

Comparison of Cell Growth on Various Plate Surface Coatings

Optimization, Yield, and Cost Savings

Problem: The coating of plates can profoundly affect the survivability and growth of colonies (in this case, gene-edited ones starting with very small quantities). Some coatings are also significantly more expensive.

Objective:

1. Coating Comparison: Evaluate and compare two different coatings by observing and characterizing the behavior of cells under each condition over a set period. This analysis will help determine which coating optimally supports cell health and activity.

2. Protocol Optimization: Develop, implement, and assess new protocols tailored to these coatings. By directly comparing the results, the most effective protocol and coating combination that enhances experimental outcomes can be identified.

CellAssist Solution: The CellAssist Systems' documentation, colony counting curves, and image examination characterize the number of colonies for each condition, and the results are collated and easily compared across conditions.

Elevate Your Research with Thrive Bioscience's Advanced Live-Cell Imaging Solutions

Thrive Bioscience's suite of advanced live-cell imaging applications is revolutionizing cell biology research by providing precision, efficiency, and deep insights across a range of applications. Our innovative solutions support the next generation of scientific breakthroughs, from stem cell research and drug discovery to wound healing and personalized medicine. By leveraging our cutting-edge technology, researchers can streamline workflows, enhance data quality, and drive meaningful results faster.

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CellAssist Platform

Explore the CellAssist Systems designed to streamline researcher workflows, enhance data quality, and drive discovery with precision and efficiency.

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Resources

Learn more about our technologies and their use in advancing cell biology research.

RESOURCES

Video

Video: Image Differently – A Solution for Live Cell Imaging

20240101

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RESOURCES

Poster

In Situ Automated Live Cell Confluence and Counting

20240101

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RESOURCES

Technical Note

Variability in Cell Confluency: Comparison of Human and CellAssist Assessments

20240101

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