Abstract
Our previous studies have shown that laser speckle imaging with sensitive subpixel correlation analysis is able to detect bacterial growth activity and the pattern of colony growth. In the current study, we demonstrate the potential of this method to analyze fungal growth. We compare the characteristics of the signals obtained from bacteria and fungi. The obtained results will help to improve the parameters of the speckle image acquisition system and the signal processing algorithms useful for microorganism (both eukaryotic and prokaryotic) growth analyses and speeding up and facilitating microbiological diagnostics.
Original language | English |
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Title of host publication | Biomedical Spectroscopy, Microscopy, and Imaging III |
Editors | Jurgen Popp, Csilla Gergely |
Publisher | SPIE |
ISBN (Electronic) | 9781510673281 |
DOIs | |
Publication status | Published - Jun 2024 |
Event | Biomedical Spectroscopy, Microscopy, and Imaging III 2024 - Palais de la Musique et des Congrès, Strasbourg, France Duration: 8 Apr 2024 → 12 Apr 2024 https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://spie.org/Publications/Proceedings/Volume/13006&ved=2ahUKEwi_-p7Kt-mLAxXEGBAIHZXpCJcQFnoECBcQAQ&usg=AOvVaw1MLjBC37jXoOfN1AAW14mp |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 13006 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Biomedical Spectroscopy, Microscopy, and Imaging III 2024 |
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Country/Territory | France |
City | Strasbourg |
Period | 8/04/24 → 12/04/24 |
Internet address |
Keywords*
- fungi activity estimation
- image processing
- laser speckle imaging
- sensitive sub-pixel correlation method
Field of Science*
- 2.2 Electrical engineering, Electronic engineering, Information engineering
- 1.3 Physical sciences
- 1.6 Biological sciences
Publication Type*
- 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database