6 papers · ranked by Valyu relevance
Emmanuel Bouilhol, Anca F. Savulescu, Edgar Lefevre, Benjamin Dartigues + 2 more
'Benjamin Dartigues' 'Robyn Brackin' 'Macha Nikolski'] Detection of RNA spots in single-molecule fluorescence in-situ hybridization microscopy images remains a difficult task, especially when applied to large volumes of data. The variable intensity of RNA spots combined with the high noise level of the images often…
Felix Y. Zhou, Adam Norton-Steele, Lewis Marsh, Helen M. Byrne + 2 more
Cells are plastic, highly heterogeneous and change over time. High-content timelapse imaging promises to reveal dynamic cell behaviors, enabling more accurate identification of cell state and cell fate prediction for biological hypothesis generation and perturbation screens. To empower live-cell imaging based…
Ella Bahry, Laura Breimann, Marwan Zouinkhi, Leo Epstein + 7 more
Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly software for spot…
Shengxian Yi, Zhongjiong Yang, Liqiang Zhou, Shaoxin Zou + 2 more
'Huangxin Xie' 'Carlo Alberto Avizzano'] In this paper, deep learning and image processing technologies are combined, and an automatic sampling robot is proposed that can completely replace the manual method in the three-dimensional space when used for the autonomous location of sampling points. It can also achieve…
Lingjiang Li, Maolin Li, Weijun Sun, Zhenni Li + 2 more
'Shah Nawaz Burokur'] Spot detection has attracted continuous attention for laser sensors with applications in communication, measurement, etc. The existing methods often directly perform binarization processing on the original spot image. They suffer from the interference of the background light. To reduce this kind…
Jianxiang Dong, Zhaozheng Yin, Dale Kreitler, Herbert J. Bernstein + 2 more
'Jean Jakoncic' 'J. Hajdu'] Bragg Spot Finder (BSF) is a U-Net-based spotfinder with image preprocessing, a U-Net segmentation backbone, and post-processing that includes artifact removal and watershed segmentation. BSF is supported by the Bragg Spot Detection (BSD) benchmark image dataset containing more than 300…