The Allen Institute for Cell Science has developed a tool for the prediction of fluorescently labeled structures in live cells solely from 3D brightfield microscopy images. This approach can be used to predict several structures of interest from the same 3D brightfield image, and can potentially be used in applications as diverse as cross-modal image registration, quantification of live cell imaging, and determination of cell state changes. This approach avoids use of fluorescence microscopy, typically used to identify subcellular structures, and the accompanying dyes and proteins are often expensive, time-consuming, and damaging to the cells.
Learn more about this project in our paper Three dimensional cross-modal image inference: label-free methods for subcellular structure prediction.
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