Convolutional Neural Networks to find and Count Patogenic Microorganisms

• Tech Stack: Ilastik, Cellpose, Cellprofiler, Singularity, Docker, Python, Julia

• Members: Me, José Geraldo de Carvalho, Dr. Paulo Sergio

Deployed a deep learning model on a pipeline from Cellprofiler that have the exactly same functions as the lincesed software (Columbus), which saved 70 thousand dollars for the research group. Turning pharmaceutical discoverying, for new tropical diseases, cheapier to research in Brazil and any other south american country.

Tested the convolutional neural networks (Deep learning models) to find and count patogenic microorganisms inside of synthetic human cells. The data was generated from high throughput screening experiments, to find new pharmaceuticals for Chagas disease.