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bioRxiv · 10.1101/2020.12.14.422631

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

Eichenberger, B. T.·Zhan, Y.·Rempfler, M.·Girogetti, L.·Chao, J.
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Abstract

Detection of diffraction-limited spots is traditionally performed with mathematical operators designed for idealized spots. This process requires manual tuning of parameters that is time-consuming and not always reliable. We have developed deepBlink, a neural network-based method to detect and localize spots automatically and demonstrate that deepBlink outperforms state-of-the-art methods across six publicly available datasets. deepBlink is open-sourced on PyPI and GitHub (https://github.com/BBQuercus/deepBlink) as a ready-to-use command-line interface.

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Eichenberger, B. T., Zhan, Y., Rempfler, M., Girogetti, L., Chao, J.. 2020-12-15. deepBlink: Threshold-independent detection and localization of diffraction-limited spots. https://doi.org/10.1101/2020.12.14.422631

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