김두리 (한양대학교)

한빛사논문

조회609

김두리Doory Kim

한양대학교

CV File 370 kb

Biosens. Bioelectron., Aug 17 2023, 240 S0956-5663(23)00545-6 | https://doi.org/10.1016/j.bios.2023.115603 Bacteria detection and species identification at the single-cell level using super-resolution fluorescence imaging and AI analysis.

Min Jeong Kim ^a, Jinyong Park ^b, Minjae Kang ^a, Uidon Jeong ^a, Dokyung Jeong ^a, Nae-Gyu Kang ^c, Seung Jin Hwang ^c, Sung Hun Youn ^c, Bo Kyoung Hwang ^c, Yoonsuk Hyun ^b, Doory Kim^a,d,e,f

^aDepartment of Chemistry, Hanyang University, Seoul, 04763, Republic of Korea

^bDepartment of Mathematics, Inha University, Incheon, 22212, Republic of Korea

^cR&D Center, LG H&H Co., Ltd., Seoul, 07795, Republic of Korea

^dResearch Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea

^eInstitute of Nano Science and Technology, Hanyang University, Seoul, 04763, Republic of Korea

^fResearch Institute for Natural Sciences, Hanyang University, Seoul, 04763, Republic of Korea

Corresponding author : Doory Kim

Abstract

The skin microbiome is thought to play a critical role in maintaining skin health and protecting against infection. While most microorganisms that live on the skin are harmless or even beneficial, some can cause skin infections or other health problems, emphasizing the importance of diagnosis of the composition and diversity of the skin flora. However, conventional diagnostic methods for evaluation of the skin microbiome are not sensitive enough to detect bacteria at low concentrations and suffer from poor specificity, thus limiting early diagnosis of bacterial infections. In this study, we developed novel approaches for bacterial species detection and identification methods with single-cell sensitivity using super-resolution microscopy and AI-based image analysis: a protein quantification-based method and an AI-based bacterial image analysis method. We demonstrate that these methods can differentiate between common bacterial members of the skin flora, including Staphylococcus aureus and Staphylococcus epidermidis, and different ribotypes of Cutibacterium acnes, both in purified bacterial samples and in scaling skin samples. The advantages of these methods, including the lack of time-consuming amplification or purification steps and single-cell level detection sensitivity, allow early diagnosis of bacterial infections, even from bacterial samples at extremely low concentrations, thus showing promise as a next-generation platform for microbiome detection as single-cell diagnostics.

논문정보

형식Short communication
게재일2023년 08월 (BRIC 등록일 2023-09-12)
연구진국내 연구진
분야 바이오·의료융합 > 바이오·의료융합 기타

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