Fast Image Restoration in Light-sheet Fluorescence Microscopy with Extended Depth of Field Using GPUs

Fast Image Restoration in Light-sheet Fluorescence Microscopy with Extended Depth of Field Using GPUs
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Book Synopsis Fast Image Restoration in Light-sheet Fluorescence Microscopy with Extended Depth of Field Using GPUs by : David Castillo Andreo

Download or read book Fast Image Restoration in Light-sheet Fluorescence Microscopy with Extended Depth of Field Using GPUs written by David Castillo Andreo and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Light sheet fluorescence microscopy (LSFM) is used in many biological research experiments that require fast three-dimensional (3D) imaging up to a few volumes per second. Wavefront coding (WFC) microscopy provides LSFM with 3D real-time imaging capabilities introducing a controlled aberration that extends the depth of field (DOF) of the microscope objective. Resulting images, however, are blurred and need to be processed to recover the original sharpness in a CPU-intensive deconvolution which makes real-time visualization unattainable. We present computational tools based on GPU parallel computing to achieve real-time deconvolution and visualization of the images obtained with WFC light-sheet microscopy.


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