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 three-dimensional confocal microscopy and two-photon time-lapse images of T cell-dendritic cell interactions in mouse spleens. 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 300-308 |
| Number of pages | 9 |
| Journal | Journal of Immunology |
| Volume | 202 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2019 |
Bibliographical note
Funding Information:This work was supported by National Institutes of Health Grants T32 AI083196 and T32 AI007313 (to D.I.K.) and R01 AI039614 (to M.K.J.).
Publisher Copyright:
© 2018 by The American Association of Immunologists, Inc.
PubMed: MeSH publication types
- Journal Article
- Research Support, N.I.H., Extramural