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deepBlink: threshold-independent detection and localization of diffraction-limited spots

Bastian Th Eichenberger, YinXiu Zhan, Markus Rempfler, Luca Giorgetti, Jeffrey A Chao
2021 Nucleic Acids Research  
Detection of diffraction-limited spots in single-molecule microscopy images is traditionally performed with mathematical operators designed for idealized spots.  ...  We have developed deepBlink, a neural network-based method to detect and localize spots automatically.  ...  We thank Ivana Horvathova and Franka Voigt and Daniel Mateju for providing the smFISH and SunTag images, respectively.  ... 
doi:10.1093/nar/gkab546 fatcat:bnxvfuuym5axfguyh52qcttlgq

Deep Learning for Detection and Segmentation in High-Content Microscopy Images

Thomas Sebastian Wollmann
2020
For particle detection in fluorescence microscopy images, a deep learning method based on a domain-adapted Deconvolution Network is presented.  ...  In this thesis, new deep learning methods for object detection and cell segmentation in microscopy images are introduced.  ...  Karl Rohr for supervising my work, but especially for his patience and always providing me with freedom to work on the topics I am interested in.  ... 
doi:10.11588/heidok.00028827 fatcat:qkemhe6irzaobhkasvcjmumxbu