Detailed Information on Publication Record
2023
Rapid identification of pathogens in blood serum via Raman tweezers in combination with advanced processing methods
VACULÍK, Ondřej, Silvie BERNATOVÁ, Katarína REBROŠOVÁ, Ota SAMEK, Lukáš ŠILHAN et. al.Basic information
Original name
Rapid identification of pathogens in blood serum via Raman tweezers in combination with advanced processing methods
Authors
VACULÍK, Ondřej (203 Czech Republic), Silvie BERNATOVÁ (203 Czech Republic), Katarína REBROŠOVÁ (703 Slovakia, belonging to the institution), Ota SAMEK (203 Czech Republic), Lukáš ŠILHAN (203 Czech Republic), Filip RŮŽIČKA (203 Czech Republic, belonging to the institution), Mojmír ŠERÝ (203 Czech Republic), Martin ŠILER (203 Czech Republic), Jan JEŽEK (203 Czech Republic) and Pavel ZEMÁNEK (203 Czech Republic)
Edition
Biomedical Optics Express, WASHINGTON, OPTICA PUBLISHING GROUP, 2023, 2156-7085
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10606 Microbiology
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 3.400 in 2022
RIV identification code
RIV/00216224:14110/23:00134679
Organization unit
Faculty of Medicine
UT WoS
001123729400003
Keywords in English
Raman tweezers; blood serum; pathogens
Tags
International impact, Reviewed
Změněno: 26/1/2024 09:11, Mgr. Tereza Miškechová
Abstract
V originále
Pathogenic microbes contribute to several major global diseases that kill millions of people every year. Bloodstream infections caused by these microbes are associated with high morbidity and mortality rates, which are among the most common causes of hospitalizations. The search for the “Holy Grail” in clinical diagnostic microbiology, a reliable, accurate, low cost, real-time, and easy-to-use diagnostic method, is one of the essential issues in clinical practice. These very critical conditions can be met by Raman tweezers in combination with advanced analysis methods. Here, we present a proof-of-concept study based on Raman tweezers combined with spectral mixture analysis that allows for the identification of microbial strains directly from human blood serum without user intervention, thus eliminating the influence of a data analyst.
Links
NU21-05-00341, research and development project |
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