Development of reflection removal methods for automated bacterial colony counting using computer vision technologies

Artjoms Suponenkovs; Dmitrijs Bliznuks; Roberts Tarvids; Alexey Lihachev

doi:10.1117/12.3017276

20 June 2024 Development of reflection removal methods for automated bacterial colony counting using computer vision technologies

Artjoms Suponenkovs, Dmitrijs Bliznuks, Roberts Tarvids, Alexey Lihachev

Author Affiliations +

Proceedings Volume 13006, Biomedical Spectroscopy, Microscopy, and Imaging III; 130060C (2024) https://doi.org/10.1117/12.3017276
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

The problem of automated bacterial colony counting is a very relevant one, due to the high importance of bacteriological analysis. Moreover, this automated counting saves biologists time and improves the accuracy of their experiments. This paper has two aims: to investigate the challenges of automated bacterial colony counting, and to address the joint challenges of petri dish localization and bacterial colony reflections in such dishes. These reflections can seriously reduce the accuracy of automated bacterial colony counting. Therefore, the main aim of this paper is to show new methods for detecting and removing bacterial colony reflections in a petri dish by the use of computer vision. It also proposes new methods for petri dish localization and the digital removal of bacterial colony reflections. Additionally, these methods can be implemented on a mobile platform, such as Android and Raspberry Pi. The experimental part of the paper contains the results, and descriptions of petri dish localization, and detecting and removing bacterial colony reflections. The proposed methods and the data obtained from these experiments significantly improve the accuracy of automated bacterial colony counting.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Artjoms Suponenkovs, Dmitrijs Bliznuks, Roberts Tarvids, and Alexey Lihachev "Development of reflection removal methods for automated bacterial colony counting using computer vision technologies", Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 130060C (20 June 2024); https://doi.org/10.1117/12.3017276

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE