Search the CONFOCAL archive at
http://listserv.acsu.buffalo.edu/cgi-bin/wa?S1=confocal

Our Core now has an automated high throughput microscope and several users want to scan huge numbers of cells transfected with various proteins or siRNA's that lead to mitotic arrest.   While it is easy to identify (and "gate")mitotic cells with phoshorylated histone H3, we are looking for shape recognition algorithms for the DNA and tubulin channels to recognize which part of mitosis the cells arrest. Of course, detection of monopolar/multipolar spindles would also be welcome.

Using 63x1.4NA or 100x1.3NA oil lenses and Zstacks (with or without exporting data for deconvolution and projections, then reimporting into the HTM software, "CytoShop"), the images are equivalent to any other machine in-house, so the starting material should fine.

The hope is that algorithms might be around that we could bring into the open architecture of CytoShop for the final analyses.

Any suggestions are welcome on or off list.

Cheers,

Michael A. Mancini, Ph.D.
Department of Molecular and Cellular Biology
Baylor College of Medicine
Houston, TX
[log in to unmask]
Mike
--------------------------------
BlackBerry Powered