A neural network for long-term super-resolution imaging of live cells with reliable confidence quantification
Super-resolution (SR) neural networks transform low-resolution optical microscopy images into SR images. Application of single-image SR (SISR) methods to long-term imaging has not exploited the temporal dependencies between neighboring frames and has been subject to inference uncertainty that is dif...
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Published in | Nature biotechnology |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
29.01.2025
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Online Access | Get full text |
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