Publication detail

Diagnostic Performance of an Automated Robot for MALDI Target Preparation in Microbial Identification

PRANADA, A. ČIČATKA, M. KARÁSEK, J. HEß, C.

Original Title

Diagnostic Performance of an Automated Robot for MALDI Target Preparation in Microbial Identification

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

agar plates, synthetic image generation, deep learning, semantic segmentation

Authors

PRANADA, A.; ČIČATKA, M.; KARÁSEK, J.; HEß, C.

Released

19. 9. 2024

Publisher

American Society for Microbiology

ISBN

0095-1137

Periodical

JOURNAL OF CLINICAL MICROBIOLOGY

Number

09-2024

State

United States of America

Pages from

1

Pages to

12

Pages count

12

URL

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"
}