SpheroScan: A User-Friendly Deep Learning Tool for Spheroid Image Analysis.

Akshay Akshay Mitali Katoch Masoud AbediMustafa BesicNavid Shekarchizadeh Fiona C Burkhard Alex Bigger-Allen Rosalyn M Adam Katia Monastyrskaya Ali Hashemi Gheinani

Published in: bioRxiv : the preprint server for biology (2023)

A deep learning model was trained to detect and segment spheroids in images from microscopes and Incucytes.The model performed well on both types of images with the total loss decreasing significantly during the training process.A web tool called SpheroScan was developed to facilitate the analysis of spheroid images, which includes prediction and visualization modules.SpheroScan is efficient and scalable, making it possible to handle large datasets with ease.SpheroScan is user-friendly and accessible to researchers, making it a valuable resource for the analysis of spheroid image data.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
big data
low cost
resistance training
single cell