COMBINATION OF LABEL-FREE SURFACE-ENHACED RAMAN SPECTROSCOPY WITH CONVOLUTIONAL NEURAL NETWORK FOR DNA RECOGNITION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F21%3A43923386" target="_blank" >RIV/60461373:22310/21:43923386 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.37904/nanocon.2020.3742" target="_blank" >https://doi.org/10.37904/nanocon.2020.3742</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.37904/nanocon.2020.3742" target="_blank" >10.37904/nanocon.2020.3742</a>

Result language
angličtina
Original language name
COMBINATION OF LABEL-FREE SURFACE-ENHACED RAMAN SPECTROSCOPY WITH CONVOLUTIONAL NEURAL NETWORK FOR DNA RECOGNITION
Original language description
Nowadays, the rapid identification of bacterial antibiotic resistance is one of the major biomedical challenges. Classical methods of detection (culture and sensitivity testing, microbial whole-genome sequencing) fail in the context of time requirements. In this work, we propose the express method for the detection of gene encoding enzyme responsible for bacterial antibiotic resistance. Proposed analytical approach is based on a combination of unique advantages provided by surface enhanced Raman spectroscopy (SERS) and artificially created convolutional neural network (CNN). SERS is known for the extremely high sensitivity and fast analysis, while CNN seems to be a promising alternative to find even ambiguous spectral properties produced by the Raman signal.
Czech name
—
Czech description
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Project
<a href="/en/project/GA20-03913S" target="_blank" >GA20-03913S: Organic gas sensors – novel structures, electrical parameters, properties and operation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
12TH INTERNATIONAL CONFERENCE ON NANOMATERIALS - RESEARCH &amp; APPLICATION (NANOCON 2020)
ISBN
978-80-87294-98-7
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
361-365
Publisher name
Tanger s.r.o.
Place of publication
Ostrava
Event location
Brno
Event date
Oct 21, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000664505500061

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