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
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