2018/10/29 by Stéphanie Guérit, Siddharth Sivankutty, Guérit, Stéphanie +10
Biochemistry, Genetics and Molecular Biology · Computer Science · 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 #cs.CV
paper · pdf · doi:10.48550/arxiv.1810.12286
5 pages, 4 figures, workshop
openalex publication_date 2018/10/29 · arxiv created 2018/10/30 · arxiv updated 2018/10/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The lensless endoscope is a promising device designed to image tissues in vivo at the cellular scale. The traditional acquisition setup consists in raster scanning during which the focused light beam from the optical fiber illuminates sequentially each pixel of the field of view (FOV). The calibration step to focus the beam and the sampling scheme both take time. In this preliminary work, we propose a scanning method based on compressive sampling theory. The method does not rely on a focused beam but rather on the random illumination patterns generated by the single-mode fibers. Experiments are performed on synthetic data for different compression rates (from 10 to 100% of the FOV).