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PRANADA, A. ČIČATKA, M. KARÁSEK, J. HEß, C.
Originální název
Diagnostic Performance of an Automated Robot for MALDI Target Preparation in Microbial Identification
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The MBT Pathfinder® is an automated colony-picking robot designed for efficient sample preparation in matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. This article presents results from three key experiments evaluating the instrument's performance in conjunction with MALDI Biotyper® instrument. The method comparison experiment assessed its clinical performance, demonstrating comparable results with Gram-positive, Gram-negative, and anaerobic bacteria (scores larger than 2.00) and superior performance over simple direct yeast transfer (score: 1.80) when compared to samples prepared manually. The repeatability experiment confirmed consistent performance over multiple days and labs (average log score: 2.12, std. deviation: 0.59). The challenge panel experiment showcased its consistent and accurate performance across various samples and settings, yielding average scores between 1.76 and 2.19. These findings underline the MBT Pathfinder® as a reliable and efficient tool for MALDI-TOF mass spectrometry sample preparation in clinical and research applications.
Klíčová slova
agar plates, synthetic image generation, deep learning, semantic segmentation
Autoři
PRANADA, A.; ČIČATKA, M.; KARÁSEK, J.; HEß, C.
Vydáno
19. 9. 2024
Nakladatel
American Society for Microbiology
ISSN
0095-1137
Periodikum
JOURNAL OF CLINICAL MICROBIOLOGY
Číslo
09-2024
Stát
Spojené státy americké
Strany od
1
Strany do
12
Strany počet
URL
https://journals.asm.org/doi/10.1128/jcm.00434-24
Plný text v Digitální knihovně
http://hdl.handle.net/11012/249488
BibTex
@article{BUT189446, author="Arthur B. {Pranada} and Michal {Čičatka} and Clara {Heß} and Jan {Karásek}", title="Diagnostic Performance of an Automated Robot for MALDI Target Preparation in Microbial Identification", journal="JOURNAL OF CLINICAL MICROBIOLOGY", year="2024", number="09-2024", pages="12", doi="10.1128/jcm.00434-24", issn="0095-1137", url="https://journals.asm.org/doi/10.1128/jcm.00434-24" }