
1015-MicroSplit enables computational multiplexing
The paper introduces MicroSplit, a deep learning-based method designed to enhance fluorescence microscopy by enabling computational multiplexing. By training Variational Splitting Encoder-Decoder networks, researchers can image multiple cellular structures simultaneously in a single fluorescent channel and then digitally unmix them into separate, denoised images. This innovation addresses the "triangle of frustration" in imaging, significantly reducing phototoxicity and light exposure while increasing imaging speed. A key feature of the system is its ability to estimate prediction…
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