Rapid identification of pathogens in blood serum via Raman tweezers in combination with advanced processing methods
© 2023 Optica Publishing Group..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
|---|---|
| Enthalten in: |
Biomedical optics express - 14(2023), 12 vom: 01. Dez., Seite 6410-6421 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Vaculík, Ondřej [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 01.03.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1364/BOE.503628 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369102231 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369102231 | ||
| 003 | DE-627 | ||
| 005 | 20240301232951.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240301s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1364/BOE.503628 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1313.xml |
| 035 | |a (DE-627)NLM369102231 | ||
| 035 | |a (NLM)38420303 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Vaculík, Ondřej |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Rapid identification of pathogens in blood serum via Raman tweezers in combination with advanced processing methods |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 01.03.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2023 Optica Publishing Group. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Bernatová, Silvie |e verfasserin |4 aut | |
| 700 | 1 | |a Rebrošová, Katarína |e verfasserin |4 aut | |
| 700 | 1 | |a Samek, Ota |e verfasserin |4 aut | |
| 700 | 1 | |a Šilhan, Lukáš |e verfasserin |4 aut | |
| 700 | 1 | |a Růžička, Filip |e verfasserin |4 aut | |
| 700 | 1 | |a Šerý, Mojmír |e verfasserin |4 aut | |
| 700 | 1 | |a Šiler, Martin |e verfasserin |4 aut | |
| 700 | 1 | |a Ježek, Jan |e verfasserin |4 aut | |
| 700 | 1 | |a Zemánek, Pavel |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Biomedical optics express |d 2010 |g 14(2023), 12 vom: 01. Dez., Seite 6410-6421 |w (DE-627)NLM203936965 |x 2156-7085 |7 nnns |
| 773 | 1 | 8 | |g volume:14 |g year:2023 |g number:12 |g day:01 |g month:12 |g pages:6410-6421 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1364/BOE.503628 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 14 |j 2023 |e 12 |b 01 |c 12 |h 6410-6421 | ||