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用于在纸片扩散试验中可视化隐藏效应以早期检测抗菌药敏性的激光散斑成像技术。

Laser speckle imaging for visualization of hidden effects for early detection of antibacterial susceptibility in disc diffusion tests.

作者信息

Balmages Ilya, Reinis Aigars, Kistkins Svjatoslavs, Bliznuks Dmitrijs, Plorina Emilija Vija, Lihachev Alexey, Lihacova Ilze

机构信息

Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.

Institute of Computer Control, Automation and Computer Engineering, Riga Technical University, Riga, Latvia.

出版信息

Front Microbiol. 2023 Jun 29;14:1221134. doi: 10.3389/fmicb.2023.1221134. eCollection 2023.

DOI:10.3389/fmicb.2023.1221134
PMID:37455709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10340531/
Abstract

Rapid identification of effective antibiotic treatment is crucial for increasing patient survival and preventing the formation of new antibiotic-resistant bacteria due to preventative antibiotic use. Currently utilized "gold standard" methods require 16-24 h to determine the most appropriate antibiotic for the patient's treatment. The proposed technique of laser speckle imaging with subpixel correlation analysis allows for identifying dynamics and changes in the zone of inhibition, which are impossible to observe with classical methods. Furthermore, it obtains the resulting zone of inhibition diameter earlier than the disk diffusion method which is recommended by the European Committee on Antimicrobial Susceptibility Testing (EUCAST). These results could improve mathematical models of changes in the diameter of the zone of inhibition around the disc containing the antimicrobial agent, thereby speeding up and facilitating epidemiological analysis.

摘要

快速确定有效的抗生素治疗方法对于提高患者生存率以及防止因预防性使用抗生素而产生新的耐抗生素细菌至关重要。目前使用的“金标准”方法需要16 - 24小时来确定最适合患者治疗的抗生素。所提出的具有亚像素相关分析的激光散斑成像技术能够识别抑菌圈的动态变化,而这是传统方法无法观察到的。此外,它比欧洲抗菌药物敏感性测试委员会(EUCAST)推荐的纸片扩散法更早获得抑菌圈直径结果。这些结果可以改进含抗菌剂纸片周围抑菌圈直径变化的数学模型,从而加速并促进流行病学分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/760aa276f050/fmicb-14-1221134-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/9d896e4ef52e/fmicb-14-1221134-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/26933ec30f1d/fmicb-14-1221134-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/4986738a6bfa/fmicb-14-1221134-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/7d280f31e0de/fmicb-14-1221134-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/743e77d64bb0/fmicb-14-1221134-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/f4787b37afb7/fmicb-14-1221134-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/d8e011571958/fmicb-14-1221134-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/852f53879b29/fmicb-14-1221134-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/760aa276f050/fmicb-14-1221134-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/9d896e4ef52e/fmicb-14-1221134-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/26933ec30f1d/fmicb-14-1221134-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/4986738a6bfa/fmicb-14-1221134-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/7d280f31e0de/fmicb-14-1221134-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/743e77d64bb0/fmicb-14-1221134-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/f4787b37afb7/fmicb-14-1221134-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/d8e011571958/fmicb-14-1221134-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/852f53879b29/fmicb-14-1221134-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4758/10340531/760aa276f050/fmicb-14-1221134-g009.jpg

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