Researchfoundation modelsfew shot learninglight sheet microscopyimage denoising
NIH AIM Proposes AI Projects For Microscopy Enhancement
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7.2
The NIH Advanced Imaging and Microscopy (AIM) group proposes two BESIP-BME summer projects recruiting a student to develop deep learning methods for teravoxel 3D light-sheet microscopy. One project targets denoising and multi-view fusion for massive volumes, while the other focuses on foundation models and few-shot object detection/segmentation trained on hundreds of terabytes. Interns will gain hands-on experience with large-scale biological image workflows.
Scoring Rationale
Official NIH project proposals and practical foundation-model focus, but limited novelty and no published results reduce breakthrough potential.
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