Fast Image Restoration In Light Sheet Fluorescence Microscopy With Extended Depth Of Field Using Gpus

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.