Depth-Varying Deconvolution of Light-Sheet Microscope Images
Arandian A. Zibaii M.I. Tamadon A. Satarian L. Latifi H.
2026Institute of Electrical and Electronics Engineers Inc.
IEEE Photonics Technology Letters
2026#38Issue 281 - 84 pp.
The light-sheet microscope is a powerful instrument for 3D imaging of biological samples. These samples are typically cleared using chemical methods. However, even cleared samples can still produce image blur, which increases with depth. We propose a computational method to correct this depth-dependent blur. First, we calculate the uniform point spread function (PSF) of the microscope. Next, we adjust its shape along the sample depth to reconstruct a set of depth-varying PSFs. Finally, we use these PSFs for nonuniform deconvolution of the 3D image. The method was successfully tested on both simulated and real data.
deconvolution , light-sheet microscopy , Optical imaging , point spread function (PSF)
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Shahid Beheshti University, Laser and Plasma Research Institute, Tehran, 1658645578, Iran
West Kazakhstan Marat Ospanov Medical University, Department of Natural Sciences, Aktobe, 030000, Kazakhstan
Royan Institute for Stem Cell Biology and Technology, ACECR, Cell Science Research Center, Department of Stem Cells and Developmental Biology, Tehran, 1314744513, Iran
Shahid Beheshti University, Laser and Plasma Research Institute, Department of Physics, Tehran, 1658645578, Iran
Shahid Beheshti University
West Kazakhstan Marat Ospanov Medical University
Royan Institute for Stem Cell Biology and Technology
Shahid Beheshti University
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