Python source code for "Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in-Flow"

This repository contains the source code used in "Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in-Flow", to train neural networks for fully unsupervised classification of single yeast cells in flow, as well as to predict the spatial distribution of those cells within a microfluidic device.

Installation

This package depends on torchsupport, a general support library for machine learning in PyTorch, by the authors. To install this package, first install torchsupport version 0.0.1 and dependencies, then clone this repository, and install using setup.py.