2018/10/29 by Stéphanie Guérit, Siddharth Sivankutty, Guérit, Stéphanie +10
Biochemistry, Genetics and Molecular Biology · Engineering · #Advanced Fluorescence Microscopy Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Optical Coherence Tomography Applications #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
paper · pdf · doi:10.48550/arxiv.1810.12286
openalex publication_date 2018/10/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The lensless endoscope is a promising device designed to image tissues in\nvivo at the cellular scale. The traditional acquisition setup consists in\nraster scanning during which the focused light beam from the optical fiber\nilluminates sequentially each pixel of the field of view (FOV). The calibration\nstep to focus the beam and the sampling scheme both take time. In this\npreliminary work, we propose a scanning method based on compressive sampling\ntheory. The method does not rely on a focused beam but rather on the random\nillumination patterns generated by the single-mode fibers. Experiments are\nperformed on synthetic data for different compression rates (from 10 to 100% of\nthe FOV).\n