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An annotated high-c...
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Arvidsson, MalouLund University,Cell Death, Lysosomes and Artificial Intelligence
(författare)
An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines : Dataset record
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Nummerbeteckningar
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LIBRIS-ID:oai:lup.lub.lu.se:bad47534-4c9f-4122-93a9-eb80b1c77c91
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https://lup.lub.lu.se/record/bad47534-4c9f-4122-93a9-eb80b1c77c91URI
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https://doi.org/10.5281/zenodo.6657260DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ovr swepub-publicationtype
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Ämneskategori:vet swepub-contenttype
Anmärkningar
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Here we present a benchmarking dataset of fluorescence microscopy images with Hoechst 33342-stained nuclei together with annotations of nuclei, nuclear fragments and micronuclei. Images were randomly selected from an RNA interference screen with a modified U2OS osteosarcoma cell line, acquired on a Thermo Fischer CX7 high-content imaging system at 20x magnification. Labelling was performed by a single annotator and reviewed by a biomedical expert.The dataset contains 50 images showing over 2000 labelled nuclear objects in total, which is sufficiently large to train well-performing neural networks for instance or semantic segmentation. It is pre-split into training, development and test set, each in a zip file. The dataset should be referred to as Aitslab_bioimaging1. A preprint of a brief article describing the dataset is also available from zenodo (Arvidsson M, Kazemi Rashed S, Aits S. zenodo 2022, https://doi.org/10.1016/j.dib.2022.108769)
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Kazemi Rashed, SalmaLund University,Lunds universitet,Celldöd, Lysosomer och Artificiell Intelligens,Forskargrupper vid Lunds universitet,Cell Death, Lysosomes and Artificial Intelligence,Lund University Research Groups(Swepub:lu)sa5202ka
(författare)
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Aits, SonjaLund University,Lunds universitet,Celldöd, Lysosomer och Artificiell Intelligens,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,LTH profilområde: Teknik för hälsa,Cell Death, Lysosomes and Artificial Intelligence,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,Faculty of Engineering, LTH(Swepub:lu)so6048ai
(författare)
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Lund UniversityCell Death, Lysosomes and Artificial Intelligence
(creator_code:org_t)
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