iCLOTS: interactive Cellular assay Labeled Observation and Tracking Software
Created by the Lam Laboratory at Emory University and Georgia Institute of Technology
Created by biomedical scientists for biomedical scientists
As a bioengineering laboratory with a specialization in microfluidic devices, we have identified a need for experiment-specific software-based tools to analyze the information rich imaging data obtained during novel in vitro microscopy-based assays. iCLOTS is a free, open-source cellular image analysis software augmented by machine learning designed for all biomedical researchers. iCLOTS processes your hard-won experimental data into detailed numerical and graphical analyses and interpretations.
Information on individual applications, including "tips and tricks" for experimental and computational methods
We welcome all concerns, feedback, ideas for new applications, and requests for assistance