| |  Online-Ressource |
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| Verfasst von: | Park, Jeongbin [VerfasserIn]  |
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| | Choi, Wonyl [VerfasserIn] |
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| | Tiesmeyer, Sebastian [VerfasserIn] |
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| | Long, Brian [VerfasserIn] |
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| | Borm, Lars E. [VerfasserIn] |
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| | Garren, Emma [VerfasserIn] |
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| | Nguyen, Thuc Nghi [VerfasserIn] |
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| | Tasic, Bosiljka [VerfasserIn] |
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| | Codeluppi, Simone [VerfasserIn] |
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| | Graf, Tobias [VerfasserIn] |
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| | Schlesner, Matthias [VerfasserIn] |
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| | Stegle, Oliver [VerfasserIn] |
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| | Eils, Roland [VerfasserIn] |
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| | Ishaque, Naveed [VerfasserIn] |
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| Titel: | Author correction: Cell segmentation-free inference of cell types from in situ transcriptomics data |
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| Verf.angabe: | Jeongbin Park, Wonyl Choi, Sebastian Tiesmeyer, Brian Long, Lars E. Borm, Emma Garren, Thuc Nghi Nguyen, Bosiljka Tasic, Simone Codeluppi, Tobias Graf, Matthias Schlesner, Oliver Stegle, Roland Eils & Naveed Ishaque |
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| E-Jahr: | 2021 |
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| Jahr: | 28 June 2021 |
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| Umfang: | 1 S. |
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| Fussnoten: | Gesehen am 27.07.2021 |
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| Titel Quelle: | Enthalten in: Nature Communications |
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| Ort Quelle: | [London] : Nature Publishing Group UK, 2010 |
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| Jahr Quelle: | 2021 |
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| Band/Heft Quelle: | 12(2021) vom: 28. Juni, Artikel-ID 4103, Seite 1 |
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| ISSN Quelle: | 2041-1723 |
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| Abstract: | Multiplexed fluorescence in situ hybridization techniques have enabled cell-type identification, linking transcriptional heterogeneity with spatial heterogeneity of cells. However, inaccurate cell segmentation reduces the efficacy of cell-type identification and tissue characterization. Here, we present a method called Spot-based Spatial cell-type Analysis by Multidimensional mRNA density estimation (SSAM), a robust cell segmentation-free computational framework for identifying cell-types and tissue domains in 2D and 3D. SSAM is applicable to a variety of in situ transcriptomics techniques and capable of integrating prior knowledge of cell types. We apply SSAM to three mouse brain tissue images: the somatosensory cortex imaged by osmFISH, the hypothalamic preoptic region by MERFISH, and the visual cortex by multiplexed smFISH. Here, we show that SSAM detects regions occupied by known cell types that were previously missed and discovers new cell types. |
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| DOI: | doi:10.1038/s41467-021-24405-0 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1038/s41467-021-24405-0 |
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| | Volltext: https://www.nature.com/articles/s41467-021-24405-0 |
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| | DOI: https://doi.org/10.1038/s41467-021-24405-0 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Errata zu: Park, Jeongbin, 1989 - : Cell segmentation-free inference of cell types from in situ transcriptomics data |
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| K10plus-PPN: | 1764666011 |
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| Verknüpfungen: | → Zeitschrift |
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Author correction: Cell segmentation-free inference of cell types from in situ transcriptomics data / Park, Jeongbin [VerfasserIn]; 28 June 2021 (Online-Ressource)
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