Diagnostic Performance of an Automated Robot for MALDI Target Preparation in Microbial Identification
dc.contributor.author | Pranada, Arthur B. | cs |
dc.contributor.author | Čičatka, Michal | cs |
dc.contributor.author | Heß, Clara | cs |
dc.contributor.author | Karásek, Jan | cs |
dc.coverage.issue | 09-2024 | cs |
dc.date.accessioned | 2024-10-14T09:03:31Z | |
dc.date.available | 2024-10-14T09:03:31Z | |
dc.date.issued | 2024-09-19 | cs |
dc.description.abstract | 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. | en |
dc.format | text | cs |
dc.format.extent | 1-12 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | JOURNAL OF CLINICAL MICROBIOLOGY. 2024, issue 09-2024, p. 1-12. | en |
dc.identifier.doi | 10.1128/jcm.00434-24 | cs |
dc.identifier.issn | 0095-1137 | cs |
dc.identifier.orcid | 0000-0002-8119-6679 | cs |
dc.identifier.other | 189446 | cs |
dc.identifier.researcherid | JDC-4257-2023 | cs |
dc.identifier.scopus | 58781281100 | cs |
dc.identifier.uri | https://hdl.handle.net/11012/249488 | |
dc.language.iso | en | cs |
dc.publisher | American Society for Microbiology | cs |
dc.relation.ispartof | JOURNAL OF CLINICAL MICROBIOLOGY | cs |
dc.relation.uri | https://journals.asm.org/doi/10.1128/jcm.00434-24 | cs |
dc.rights | Creative Commons Attribution 4.0 International | cs |
dc.rights.access | openAccess | cs |
dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/0095-1137/ | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | agar plates | en |
dc.subject | synthetic image generation | en |
dc.subject | deep learning | en |
dc.subject | semantic segmentation | en |
dc.title | Diagnostic Performance of an Automated Robot for MALDI Target Preparation in Microbial Identification | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.grantNumber | info:eu-repo/grantAgreement/MV0/VK/VK01010153 | cs |
sync.item.dbid | VAV-189446 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2024.10.14 11:03:31 | en |
sync.item.modts | 2024.09.25 14:32:05 | en |
thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikací | cs |
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