Daniel Krentzel

This paper develops a deep learning model to identify drug modes of action from high-throughput images of chemically and genetically perturbed Corynebacteria.

This paper uses deep learning to identify antibiotic modes of action from brightfield images without fluorescent labeling, achieving high accuracy in detecting drug exposure and novel mechanisms.

ZeroCostDL4Mic provides a platform to use deep learning in microscopy, enabling tasks like segmentation and denoising through Google Colab.