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bioRxiv · 10.1101/403154

Chrysalis: A new method for high-throughput histo-cytometry analysis of images and movies.

Kotov, D. I.·Pengo, T.·Mitchell, J. S.·Gastinger, M. J.·Jenkins, M. K.
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Abstract

Advances in imaging have led to the development of powerful multispectral, quantitative imaging techniques, like histo-cytometry. The utility of this approach is limited, however, by the need for time consuming manual image analysis. We therefore developed the software Chrysalis and a group of Imaris Xtensions to automate this process. The resulting automation allowed for high-throughput histo-cytometry analysis of 3D confocal microscopy and two-photon time-lapse images of T cell-dendritic cell interactions in the spleen. It was also applied to epi-fluorescence images to quantify T cell localization within splenic tissue by using a signal absorption strategy that avoids computationally intensive distance measurements. In summary, this image processing and analysis software makes histo-cytometry more useful for immunology applications by automating image analysis.

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Kotov, D. I., Pengo, T., Mitchell, J. S., Gastinger, M. J., Jenkins, M. K.. 2018-08-30. Chrysalis: A new method for high-throughput histo-cytometry analysis of images and movies.. https://doi.org/10.1101/403154

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