Efficient processing of 3dimagedata is one of the biggest challenges in biological image analysis. Single plane illumination microscopy, for instance, allows acquiring massive amounts of 3dimagedata that needs to ...
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ISBN:
(纸本)9781479923496;9781479923502
Efficient processing of 3dimagedata is one of the biggest challenges in biological image analysis. Single plane illumination microscopy, for instance, allows acquiring massive amounts of 3dimagedata that needs to be processed automatically. An important preprocessing step is deconvolution which reduces the image blur introduced by the imaging system. An often used algorithm is Richardson-Lucy deconvolution which, however, is very time-consuming for huge amounts of 3dimagedata. We have developed an FPGA-based acceleration of Richardson-Lucy deconvolution. Compared to CPU architectures the computation time is reduced.
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