Understanding living cells and imaging intracellular dynamics requires complex and expensive devices. Conventional fluorescence microscopes suffer from poor resolution, while super-resolution comes with its own tradeoffs, making multi-cell studies challenging. We apply computational techniques such as super-resolution radial fluctuations to the tissue micrograph sequences, comparing a variety of numerical modifications and parameter settings to enable imaging of subcellular structures with higher resolution, reduced background noise, and enhanced signal intensity. Discrete organelle structures and dynamics are distinguishable in the final images, despite the original images having poor lateral resolution. The resultant computational techniques are widely available for use in studies anywhere
Omnidirectional side-view images from miniaturized catadioptric endoscopes may be used to generate mosaics of the epithelium of tubular organs, enabling the longitudinal monitoring of surface pathologies. Here, previous results are extended to create three-dimensional sub-mm resolution 3.5 cm × 360° reconstructions of pediatric cardiac phantoms. From image stacks with a single annulus of best focus captured via parabolic mirrors, adjacent rings within the focused region may be used to infer depth via parallax while rings of best focus are used to color the inferred geometry. Potential applications include digital reconstruction of pediatric and small-animal organs for diagnostics and surgical guidance at near-cellular resolution.
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