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Objective automated quantification of fluorescence signal in histological sections of rat lens
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Ophthalmology.ORCID iD: 0000-0001-7325-7358
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Ophthalmology.ORCID iD: 0000-0003-0654-5856
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Ophthalmology.
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2017 (English)In: Cytometry Part A, ISSN 1552-4922, E-ISSN 1552-4930, Vol. 91Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
2017. Vol. 91
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Ophthalmology Medical Image Processing
Research subject
Computerized Image Processing
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URN: urn:nbn:se:uu:diva-322627DOI: 10.1002/cyto.a.23131OAI: oai:DiVA.org:uu-322627DiVA: diva2:1098937
Available from: 2017-05-11 Created: 2017-05-28 Last updated: 2017-06-01Bibliographically approved

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Talebizadeh, NooshinYu, ZhaohuaKronschläger, MartinSöderberg, PerWählby, Carolina
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OphthalmologyDivision of Visual Information and InteractionComputerized Image Analysis and Human-Computer InteractionScience for Life Laboratory, SciLifeLab
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Cytometry Part A
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