Automated particle counting app in liquid medium based on digital image processing

This work introduces the mobile app ContLab with advanced computational code installed on mobile devices (tablet, cellphone, iPad, etc.), with internet access, and compatible with Android operating systems. It is designed to be coupled with a simple microscope for the automated counting of particles, ranging in size from 0.05 µm to 50 µm, within the microfiltration spectrum, and specifically customized for micelle counting produced in fermentable processes. It is an easily accessible and cost-effective device for users interested in micelle counting present in any fermentable broth, such as in the pharmaceutical, food, and brewing industries. The app enhances the speed and precision of results compared to the manual counting method.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-29
DOI
https://doi.org/10.5281/zenodo.13541259
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
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article

Automated particle counting app in liquid medium based on digital image processing

Zenodo (CERN European Organization for Nuclear Research)
Biosensors and Analytical Detection
article

Automated particle counting app in liquid medium based on digital image processing

article en

Abstract

This work introduces the mobile app ContLab with advanced computational code installed on mobile devices (tablet, cellphone, iPad, etc.), with internet access, and compatible with Android operating systems. It is designed to be coupled with a simple microscope for the automated counting of particles, ranging in size from 0.05 µm to 50 µm, within the microfiltration spectrum, and specifically customized for micelle counting produced in fermentable processes. It is an easily accessible and cost-effective device for users interested in micelle counting present in any fermentable broth, such as in the pharmaceutical, food, and brewing industries. The app enhances the speed and precision of results compared to the manual counting method.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Estadual de Campinas (UNICAMP) (BR)
Openalex Percentile: Top 66%
Biosensors and Analytical Detection
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