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Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment

BACKGROUND: Scanners are the main tool in digital pathology. The technical abilities of scanners determine the workflow logic in the pathology laboratory. Its performance can be restricted by the divergence between the scanning time presented by the manufacturer and the actual scanning time. This co...

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Autores principales: Genis, Mikhail Yurevich, Remez, Alexey Igorevich, Untesco, Maxim Ivanovich, Zhakota, Dmitrii Anatolevich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609284/
https://www.ncbi.nlm.nih.gov/pubmed/34881094
http://dx.doi.org/10.4103/jpi.jpi_4_21
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author Genis, Mikhail Yurevich
Remez, Alexey Igorevich
Untesco, Maxim Ivanovich
Zhakota, Dmitrii Anatolevich
author_facet Genis, Mikhail Yurevich
Remez, Alexey Igorevich
Untesco, Maxim Ivanovich
Zhakota, Dmitrii Anatolevich
author_sort Genis, Mikhail Yurevich
collection PubMed
description BACKGROUND: Scanners are the main tool in digital pathology. The technical abilities of scanners determine the workflow logic in the pathology laboratory. Its performance can be restricted by the divergence between the scanning time presented by the manufacturer and the actual scanning time. This could lead to critical deviations from the established business processes in a 24/7 laboratory. AIM: Our investigation is focused in exploring the performance of three main models of high-performance scanners available on the Russian market: 3DHistech, Hamamatsu и Leica. OBJECTIVES: We compared the performance of the scanners on the samples of a given size with the manufacturer's stated specifications and evaluated the speed of the scanners on the reference and routine laboratory material. SUBJECTS AND METHODS: We examined 3DHistech Pannoramic 1000, Hamamatsu NanoZoomer s360 and Leica AT2 with default settings and automatic mode. Two sets of glasses were used (glass slide): Group 1 included 120 slides with 15 mm × 15 mm slices, Group 2 included 120 workflow slides. RESULTS: The average slide scan times in Groups 1 and 2 for the C13220 (156 ± 1.25 s and 117 ± 4.17 s) and Pannoramic 1000 (210 ± 1.64 s and 183 ± 3.78 s) differ statistically significantly (P < 0.0001). Total scanning time including rack reloading was shorter for the workflow slide set group for the modern C13220 and Pannoramic 1000 scanner models. CONCLUSIONS: The scanner specifications provided by manufacturers are not sufficient to evaluate the performance. The guidelines and regulations concerning scanner selection should be consented by the digital pathology community. We suggest discussing criteria for evaluating scanner performance.
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spelling pubmed-86092842021-12-07 Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment Genis, Mikhail Yurevich Remez, Alexey Igorevich Untesco, Maxim Ivanovich Zhakota, Dmitrii Anatolevich J Pathol Inform Original Article BACKGROUND: Scanners are the main tool in digital pathology. The technical abilities of scanners determine the workflow logic in the pathology laboratory. Its performance can be restricted by the divergence between the scanning time presented by the manufacturer and the actual scanning time. This could lead to critical deviations from the established business processes in a 24/7 laboratory. AIM: Our investigation is focused in exploring the performance of three main models of high-performance scanners available on the Russian market: 3DHistech, Hamamatsu и Leica. OBJECTIVES: We compared the performance of the scanners on the samples of a given size with the manufacturer's stated specifications and evaluated the speed of the scanners on the reference and routine laboratory material. SUBJECTS AND METHODS: We examined 3DHistech Pannoramic 1000, Hamamatsu NanoZoomer s360 and Leica AT2 with default settings and automatic mode. Two sets of glasses were used (glass slide): Group 1 included 120 slides with 15 mm × 15 mm slices, Group 2 included 120 workflow slides. RESULTS: The average slide scan times in Groups 1 and 2 for the C13220 (156 ± 1.25 s and 117 ± 4.17 s) and Pannoramic 1000 (210 ± 1.64 s and 183 ± 3.78 s) differ statistically significantly (P < 0.0001). Total scanning time including rack reloading was shorter for the workflow slide set group for the modern C13220 and Pannoramic 1000 scanner models. CONCLUSIONS: The scanner specifications provided by manufacturers are not sufficient to evaluate the performance. The guidelines and regulations concerning scanner selection should be consented by the digital pathology community. We suggest discussing criteria for evaluating scanner performance. Wolters Kluwer - Medknow 2021-11-01 /pmc/articles/PMC8609284/ /pubmed/34881094 http://dx.doi.org/10.4103/jpi.jpi_4_21 Text en Copyright: © 2021 Journal of Pathology Informatics https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Genis, Mikhail Yurevich
Remez, Alexey Igorevich
Untesco, Maxim Ivanovich
Zhakota, Dmitrii Anatolevich
Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment
title Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment
title_full Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment
title_fullStr Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment
title_full_unstemmed Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment
title_short Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment
title_sort testing of actual scanner performance in a high-loaded unim laboratory environment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609284/
https://www.ncbi.nlm.nih.gov/pubmed/34881094
http://dx.doi.org/10.4103/jpi.jpi_4_21
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