Preprint Article Version 1 This version is not peer-reviewed

PyNTA: An Open Source Software Application for Live Particle Tracking

Version 1 : Received: 24 June 2019 / Approved: 25 June 2019 / Online: 25 June 2019 (12:53:50 CEST)

How to cite: Faez, S.; Carattino, A.; Mosk, A. PyNTA: An Open Source Software Application for Live Particle Tracking. Preprints 2019, 2019060251 (doi: 10.20944/preprints201906.0251.v1). Faez, S.; Carattino, A.; Mosk, A. PyNTA: An Open Source Software Application for Live Particle Tracking. Preprints 2019, 2019060251 (doi: 10.20944/preprints201906.0251.v1).

Abstract

We introduce PyNTA, a modular instrumentation software for live particle tracking. By using the multiprocessing library of Python and the distributed messaging library pyZMQ, PyNTA allows users to acquire images from a camera at close to maximum readout bandwidth while simultaneously performing computations on each image on a separate processing unit. This publisher/subscriber pattern generates a small overhead and leverages the multi-core capabilities of modern computers. We demonstrate capabilities of the PyNTA package on the featured application of nanoparticle tracking analysis. Real-time particle tracking on megapixel images at a rate of 50 Hz is presented. Reliable live tracking reduces the required storage capacity for particle tracking measurements by a factor of approximately 103, as compared with raw data storage, allowing for a virtually unlimited duration of measurements

Supplementary and Associated Material

Subject Areas

video microscopy, imaging, automated data acquisition, nanoparticle tracking, measurement embedded applications, open-source software

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