KEYWORDS: Image segmentation, 3D image processing, Time lapse microscopy, Fluorescence, Breast cancer, 3D modeling, Fluorescent proteins, Cancer, Biological imaging, Machine learning, Live cell imaging
Oblique plane microscopy (OPM) is a light-sheet microscopy technique that illuminates a tilted plane of a specimen and collects the fluorescence with the same high NA objective. Here, we apply OPM with stage-scanned image volume acquisition to perform high-content, 3D time-lapse imaging of up to 180 breast cancer spheroids over eight days every eight hours. Each spheroid comprises a combination of one to three different cell populations, each co-expressing a unique oncogene-fluorescent protein pair. We trained the image segmentation tool Cellpose to segment nuclei in the resulting data in order to measure integrated fluorescence intensity, nuclear size, and nuclear count for each of the different oncogenes to quantify competition between mutations.
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