ArticleScientific reports2021
SpheroidPicker for automated 3D cell culture manipulation using deep learning.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 40 citations in OpenAlex.
- From microtissues to macro solutions - The future of scalable and automated cartilage tissue engineering.Journal of orthopaedic translation · 2026Review
- The Future of Protozoan Infection Research: 3D Cell Culture and beyond.ACS infectious diseases · 2026Review
- Enhancement of TIRF Imaging of 3D-Cultured Spheroids via Hydrostatic Compression Using a Balloon Actuator.Micromachines · 2026Article
- Prospective Assessment of Embryoid Body by Deep Learning on Label-Free Time-Lapse Images from the Microwell Array.Biomedicines · 2026Article
- From organoid culture to manufacturing: technologies for reproducible and scalable organoid production.npj biomedical innovations · 2026Review
- High-throughput spheroid-based assay for functional breast cancer precision medicine facilitated by deep learning.Communications medicine · 2026Article
- HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system.Nature communications · 2025Article
- Low-cost robotic manipulation of live microtissues for cancer drug testing.Science advances · 2025Article
- A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics.BMC bioinformatics · 2025Article
- A deep learning pipeline for morphological and viability assessment of 3D cancer cell spheroids.Biology methods & protocols · 2025Article
- Automated Uniform Spheroid Generation Platform for High Throughput Drug Screening Process.Biosensors · 2024Article
- Towards Automation in 3D Cell Culture: Selective and Gentle High-Throughput Handling of Spheroids and Organoids via Novel Pick-Flow-Drop Principle.Advanced healthcare materials · 2024Article
- Robotics-Driven Manufacturing of Cartilaginous Microtissues for Skeletal Tissue Engineering Applications.Stem cells translational medicine · 2024Article
- Segmentation metric misinterpretations in bioimage analysis.Nature methods · 2024Article
- High-throughput platform for label-free sorting of 3D spheroids using deep learning.Frontiers in bioengineering and biotechnology · 2024Article
- A deep learning-based pipeline for analyzing the influences of interfacial mechanochemical microenvironments on spheroid invasion using differential interference contrast microscopic images.Materials today. Bio · 2023Article
- SpheroScan: A User-Friendly Deep Learning Tool for Spheroid Image Analysis.bioRxiv : the preprint server for biology · 2023Article
- Automated high-content imaging in iPSC-derived neuronal progenitors.SLAS discovery : advancing life sciences R & D · 2023Article
- Article
- A platform for automated and label-free monitoring of morphological features and kinetics of spheroid fusion.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.