Academic Journal
An open access, machine learning pipeline for high-throughput quantification of cell morphology
| العنوان: | An open access, machine learning pipeline for high-throughput quantification of cell morphology |
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| المؤلفون: | Welter, Emma M., Kosyk, Oksana, Zannas, Anthony S. |
| المصدر: | STAR Protocols ; volume 4, issue 1, page 101947 ; ISSN 2666-1667 |
| بيانات النشر: | Elsevier BV |
| سنة النشر: | 2023 |
| المجموعة: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1016/j.xpro.2022.101947 |
| الاتاحة: | http://dx.doi.org/10.1016/j.xpro.2022.101947 https://api.elsevier.com/content/article/PII:S2666166722008279?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S2666166722008279?httpAccept=text/plain |
| Rights: | https://www.elsevier.com/tdm/userlicense/1.0/ ; http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| رقم الانضمام: | edsbas.2849B630 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.xpro.2022.101947 |
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