A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
deepBlink: threshold-independent detection and localization of diffraction-limited spots
2021
Nucleic Acids Research
Preserved Fulltext
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
2020
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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