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DEVELOPMENT OF REFLECTION REMOVAL METHODS FOR AUTOMATED BACTERIAL COLONY COUNTING USING COMPUTER VISION TECHNOLOGIES

  • Artjoms Suponenkovs*
  • , Dmitrijs Bliznuks
  • , Roberts Tarvids
  • , Alexey Lihachev
  • *Corresponding author for this work
  • Riga Technical University
  • Loughborough University

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

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.

Original languageEnglish
Title of host publicationBiomedical Spectroscopy, Microscopy, and Imaging III
EditorsJurgen Popp, Csilla Gergely
PublisherSPIE
ISBN (Electronic)9781510673281
DOIs
Publication statusPublished - 2024
EventBiomedical Spectroscopy, Microscopy, and Imaging III 2024 - Strasbourg, France
Duration: 8 Apr 202412 Apr 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13006
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceBiomedical Spectroscopy, Microscopy, and Imaging III 2024
Country/TerritoryFrance
CityStrasbourg
Period8/04/2412/04/24

Keywords

  • Automated Colony Counting
  • Computer Vision
  • Image Pre-Processing
  • Image Segmentation
  • Medical Imaging
  • Petri Dish
  • Reflections

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