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YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.6084/m9.figshare.12958037

The benchmarking datasets used for deepBlink. The npz files contain train/valid/test splits inside and can be used directly. The files belong to the following challenges / classes:- ISBI Particle tracking challenge: microtubule, vesicle, receptor- Custom synthetic (based on http://smal.ws): particle- Custom fixed cell: smfish- Custom live cell: suntagThe csv files are to determine which image in the test splits correspond to which original image, SNR, and density.

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Type: dataset
Language: en
Landing Page: https://doi.org/10.6084/m9.figshare.12958037
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DOI: https://doi.org/10.6084/m9.figshare.12958037

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Title: Datasets

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Type: dataset

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Language: en

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Publication year: 2020

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Publication date: 2020-01-01

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Authors: Bastian Eichenberger, Yinxiu Zhan

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Landing page: https://doi.org/10.6084/m9.figshare.12958037

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.6084/m9.figshare.12958037

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Concepts: Computer science

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Cited by: 0

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Related works (count): 10

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