SpheroidPicker for automated 3D cell culture manipulation using deep learning

Abstract Recent statistics report that more than 3.7 million new cases of cancer occur in Europe yearly, and the disease accounts for approximately 20% of all deaths. High-throughput screening of cancer cell cultures has dominated the search for novel, effective anticancer therapies in the past deca...

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Autores principales:	Istvan Grexa, Akos Diosdi, Maria Harmati, Andras Kriston, Nikita Moshkov, Krisztina Buzas, Vilja Pietiäinen, Krisztian Koos, Peter Horvath
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6e8c5236e2dc4a21b42f011c1d64869a
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spelling	oai:doaj.org-article:6e8c5236e2dc4a21b42f011c1d64869a2021-12-02T17:57:16ZSpheroidPicker for automated 3D cell culture manipulation using deep learning10.1038/s41598-021-94217-12045-2322https://doaj.org/article/6e8c5236e2dc4a21b42f011c1d64869a2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94217-1https://doaj.org/toc/2045-2322Abstract Recent statistics report that more than 3.7 million new cases of cancer occur in Europe yearly, and the disease accounts for approximately 20% of all deaths. High-throughput screening of cancer cell cultures has dominated the search for novel, effective anticancer therapies in the past decades. Recently, functional assays with patient-derived ex vivo 3D cell culture have gained importance for drug discovery and precision medicine. We recently evaluated the major advancements and needs for the 3D cell culture screening, and concluded that strictly standardized and robust sample preparation is the most desired development. Here we propose an artificial intelligence-guided low-cost 3D cell culture delivery system. It consists of a light microscope, a micromanipulator, a syringe pump, and a controller computer. The system performs morphology-based feature analysis on spheroids and can select uniform sized or shaped spheroids to transfer them between various sample holders. It can select the samples from standard sample holders, including Petri dishes and microwell plates, and then transfer them to a variety of holders up to 384 well plates. The device performs reliable semi- and fully automated spheroid transfer. This results in highly controlled experimental conditions and eliminates non-trivial side effects of sample variability that is a key aspect towards next-generation precision medicine.Istvan GrexaAkos DiosdiMaria HarmatiAndras KristonNikita MoshkovKrisztina BuzasVilja PietiäinenKrisztian KoosPeter HorvathNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Istvan Grexa Akos Diosdi Maria Harmati Andras Kriston Nikita Moshkov Krisztina Buzas Vilja Pietiäinen Krisztian Koos Peter Horvath SpheroidPicker for automated 3D cell culture manipulation using deep learning
description	Abstract Recent statistics report that more than 3.7 million new cases of cancer occur in Europe yearly, and the disease accounts for approximately 20% of all deaths. High-throughput screening of cancer cell cultures has dominated the search for novel, effective anticancer therapies in the past decades. Recently, functional assays with patient-derived ex vivo 3D cell culture have gained importance for drug discovery and precision medicine. We recently evaluated the major advancements and needs for the 3D cell culture screening, and concluded that strictly standardized and robust sample preparation is the most desired development. Here we propose an artificial intelligence-guided low-cost 3D cell culture delivery system. It consists of a light microscope, a micromanipulator, a syringe pump, and a controller computer. The system performs morphology-based feature analysis on spheroids and can select uniform sized or shaped spheroids to transfer them between various sample holders. It can select the samples from standard sample holders, including Petri dishes and microwell plates, and then transfer them to a variety of holders up to 384 well plates. The device performs reliable semi- and fully automated spheroid transfer. This results in highly controlled experimental conditions and eliminates non-trivial side effects of sample variability that is a key aspect towards next-generation precision medicine.
format	article
author	Istvan Grexa Akos Diosdi Maria Harmati Andras Kriston Nikita Moshkov Krisztina Buzas Vilja Pietiäinen Krisztian Koos Peter Horvath
author_facet	Istvan Grexa Akos Diosdi Maria Harmati Andras Kriston Nikita Moshkov Krisztina Buzas Vilja Pietiäinen Krisztian Koos Peter Horvath
author_sort	Istvan Grexa
title	SpheroidPicker for automated 3D cell culture manipulation using deep learning
title_short	SpheroidPicker for automated 3D cell culture manipulation using deep learning
title_full	SpheroidPicker for automated 3D cell culture manipulation using deep learning
title_fullStr	SpheroidPicker for automated 3D cell culture manipulation using deep learning
title_full_unstemmed	SpheroidPicker for automated 3D cell culture manipulation using deep learning
title_sort	spheroidpicker for automated 3d cell culture manipulation using deep learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6e8c5236e2dc4a21b42f011c1d64869a
work_keys_str_mv	AT istvangrexa spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT akosdiosdi spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT mariaharmati spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT andraskriston spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT nikitamoshkov spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT krisztinabuzas spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT viljapietiainen spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT krisztiankoos spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning AT peterhorvath spheroidpickerforautomated3dcellculturemanipulationusingdeeplearning
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SpheroidPicker for automated 3D cell culture manipulation using deep learning

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