CytoCV

Research platform built by the UWB STEM team for University of Utah collaborators.

Project overview

The project is a tool to automatically analyze WIDE-fluorescent microscopy images of yeast cells undergoing mitosis. The biologist uses yeast cells that have a controlled mutation in them. The biologists then use fluorescent labeling for points of interest (POIs), such as specific proteins, and this program automatically analyzes those POIs to collect useful data that may be used to find the cause of cellular mutation. The user will upload a special DV (Delta Vision) file that has multiple images that are taken at the same time; thus, allowing them to be overlapped. One of them is a Differential interference contrast (DIC) image, which basically is a clear image of the cells, and multiple images of the cells through different wavelengths which excite the fluorescent labels separately, leading to the POI being brightened (small dots). Currently, the fluorescent labels being used are DAPI, mCherry, and GFP.

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