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ACM Student Research Competition
Poster
:
Accelerating Microscope Data Analysis Using Parallel Computing
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ACM Student Research Competition
Poster
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TimeTuesday, November 13th8:30am - 5pm
DescriptionSingle-Molecule Localization Microscopy (SMLM) techniques deal with the diffraction limit of fluorescent microscopy by localizing single molecules with high precision by stochastically switching molecules on and off. Thousands of camera frames containing subsets of blinking molecules are recorded to obtain a single super-resolution image. Each blinking molecule in each frame is subjected to localization protocols that fit the shape of the blink, assess the quality of the blink and then estimate their center. The algorithm implemented originally in MATLAB and compiled CUDA C, to compute a ‘Super Resolution’ image took around 6 minutes to process 256x256 pixel images of a moderately dense dataset. I ported the algorithm to C++ and parallelized it using OpenMP to compute multiple frames in parallel.
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