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iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and
Meredith E Fay1,2,3,4,5, Oluwamayokun Oshinowo1,2,3,4,5, Elizabeth Iffrig1,6
1The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, USA.
Nature Communications
|August 18, 2023
Summary
A new open-source software, Interactive Cellular assay Labeled Observation and Tracking Software (iCLOTS), analyzes time-dependent microscopy data for cell adhesion and flow. This tool democratizes advanced computational methods for biomedical researchers.
Area of Science:
- Biomedical Engineering
- Computational Biology
- Cellular Biology
Background:
- Microscopy-based cellular assays, including microfluidics, have advanced significantly.
- Analysis of time-dependent microscopy data with phenomena like fluid flow and cell adhesion remains challenging.
- Manual analysis is error-prone, time-consuming, and limits resolution and metric innovation.
Purpose of the Study:
- To develop a user-adaptable, open-source software toolkit for analyzing complex microscopy data.
- To address the lack of accessible analytical tools for physiologically-relevant cellular assays.
- To democratize advanced computational methods for biomedical researchers.
Main Methods:
- Development of the Interactive Cellular assay Labeled Observation and Tracking Software (iCLOTS).
- Benchmarking of iCLOTS using cell adhesion, single-cell tracking, and velocity profile analysis with blood samples.
- Application of machine learning algorithms for data characterization.
Main Results:
- iCLOTS provides a user-adaptable toolkit for analyzing time-dependent microscopy data.
- The software effectively benchmarks cell adhesion, single-cell tracking, and velocity profiles in microfluidic applications.
- Machine learning algorithms within iCLOTS identify previously imperceptible data patterns.
Conclusions:
- iCLOTS addresses a critical need for advanced analytical tools in cellular assay research.
- The open-source software democratizes the use of well-validated computational methods.
- iCLOTS enables innovative, physiologically-relevant assays for a broad range of biomedical researchers.
