Convolutional neural network approach for the automated identification of in cellulo crystals

This repository contains all files required to complement our manuscript entitled "Convolutional neural network approach for the automated identification of in cellulo crystals" published in the Journal of Applied Crystallography (A. Kardoost, R. Schönherr, C. Deiter, L. Redecke, K. Lorenzen, J. Schulz and I. de Diego (2024). J.Appl. Cryst. 57, https://doi.org/10.1107/S1600576724000682). In this work we make use of Mask R-CNN, a Convolutional Neural Network (CNN) based instance segmentation method, for the identification of crystals growing in living insect cells, using conventional bright field images.