SpheroidPicker: An Automated 3D cell culture manipulator robot using deep learning
Autor: | Hovath P, Andras Kriston, Akos Diosdi, Istvan Grexa, Krisztina Buzas, Pietiainen, Maria Harmati, Krisztian Koos, Nikita Moshkov |
---|---|
Rok vydání: | 2020 |
Předmět: |
Computer science
Controller (computing) Sample (material) law.invention 03 medical and health sciences 3D cell culture 0302 clinical medicine law Transfer (computing) medicine Sample preparation Micromanipulator 030304 developmental biology 0303 health sciences business.industry Petri dish Cancer medicine.disease 3. Good health Cell culture 030220 oncology & carcinogenesis Cancer cell Robot business Computer hardware Ex vivo |
DOI: | 10.1101/2020.11.25.397331 |
Popis: | 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, ex vivo 3D cell cultures from the patient’s own cancer cells have gained importance. We recently evaluated the major advancements and needs of the 3D cell cultures screening field, and we concluded that strictly standardized 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 transfers the most appropriate ones 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. |
Databáze: | OpenAIRE |
Externí odkaz: |