BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
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| Title: | BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. |
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| Authors: | Scherr T; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany., Streule K; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen 76344, Germany., Bartschat A; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany., Böhland M; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany., Stegmaier J; Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen 52074, Germany., Reischl M; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany., Orian-Rousseau V; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen 76344, Germany., Mikut R; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2020 Nov 01; Vol. 36 (17), pp. 4668-4670. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btaa594 |
