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ABSTRACT: Background
In recent years, three-dimensional (3D) spheroid models have become increasingly popular in scientific research as they provide a more physiologically relevant microenvironment that mimics in vivo conditions. The use of 3D spheroid assays has proven to be advantageous as it offers a better understanding of the cellular behavior, drug efficacy, and toxicity as compared to traditional two-dimensional cell culture methods. However, the use of 3D spheroid assays is impeded by the absence of automated and user-friendly tools for spheroid image analysis, which adversely affects the reproducibility and throughput of these assays.Results
To address these issues, we have developed a fully automated, web-based tool called SpheroScan, which uses the deep learning framework
SUBMITTER: Akshay A
PROVIDER: S-EPMC10327116 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature