Optical Array Processing for Python

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                                                      Version 0.0.14
Optical Array Processing (oap)
Licensed under the MIT license (see `LICENSE` file)

A transparent library for processing and analyzing individual
images of Optical Array Probes (OAPs)

Author:         Lucas Grulich
Last Update:    June 20, 2021

Introduction

The oap library is a transparent tool, written in Python and C, for working directly with image data from Optical Array Probes. It was initially developed for the preparation and classification of image data with neural networks.

This software is still in the alpha phase and will be further developed at irregular intervals! Comments on this project are always welcome! If you have suggestions for improvement, you can simply write me an email and I will try to implement them.

At the current state, the decompression algorithm is only available for grayscale probes by Droplet Measurement Technologies (DMT).

  • Decompression for DMT monoscale probes coming next!

Getting Started

Installing oap is as easy as:

pip install oap

If you’re new to the oap library and/or Python, be sure to check out the Tutorial and the Documentation.