FLAME: Macroscopic imaging with microscopic resolution. Optical biopsy of human skin
Fast, A.; Lal, A.; Durkin, A. F.; Zachary, C. B.; Ganesan, A. K.; Balu, M.
Show abstract
We introduce a compact, fast large area multiphoton exoscope (FLAME) system with enhanced molecular contrast for macroscopic imaging of human skin with microscopic resolution. A versatile imaging platform with multiple modes of operation for comprehensive analysis of live or resected thick human skin tissue, it produces 3D images that encompass sub-mm2 to cm2 scale areas of tissue within minutes. The FLAME imaging platform, which expands on a design recently introduced by our group, features deep learning, additional scanning hardware elements and time-resolved single photon counting detection to uniquely allow fast discrimination and 3D virtual staining of melanin. We demonstrate its performance and utility by fast ex vivo and in vivo imaging of human skin. With the ability to provide rapid access to depth resolved images of skin over cm2 area and to generate 3D distribution maps of key sub-cellular skin components such as melanocytic dendrites and melanin, FLAME represents a promising imaging tool for enhancing diagnosis accuracy, guiding therapy and understanding skin biology.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- GANscan: continuous scanning microscopy using deep learning deblurring 96%
- Bessel Beam Optical Coherence Microscopy Enables Multiscale Assessment of Cerebrovascular Network Morphology and Function 95%
- Experimentally unsupervised deconvolution for light-sheet microscopy with propagation-invariant beams 95%
Similar papers in this journal
- Miniaturized microscope for non-invasive imaging of leukocyte-endothelial interactions in human microcirculation 96%
- Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen 95%
- Ultra-thin fluorocarbon foils optimize multiscale imaging of three-dimensional native and optically cleared specimens 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.