Journal Article

PUBDB-2023-06092

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png PickYOLO: Fast deep learning particle detector for annotation of cryo electron tomograms

Genthe, E.DESY* ; Miletic, S. ; Tekkali, I.DESY* ; Hennell James, R.CSSB*DESY* ; Marlovits, T. (Corresponding author)CSSB*DESY* ; Heuser, P. (Corresponding author)DESY*

2023
Elsevier San Diego, Calif.

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Please use a persistent id in citations: doi:10.1016/j.jsb.2023.107990  doi:10.3204/PUBDB-2023-06092

Abstract: Particle localization (picking) in digital tomograms is a laborious and time-intensive step in cryogenic electron tomography (cryoET) analysis often requiring considerable user involvement, thus becoming a bottleneck for automated cryoET subtomogram averaging (STA) pipelines. In this paper, we introduce a deep learning framework called PickYOLO to tackle this problem. PickYOLO is a super-fast, universal particle detector based on the deep-learning real-time object recognition system YOLO (You Only Look Once), and tested on single particles, filamentous structures, and membrane-embedded particles. After training with the centre coordinates of a few hundred representative particles, the network automatically detects additional particles with high yield and reliability at a rate of 0.24–3.75 s per tomogram. PickYOLO can automatically detect number of particles comparable to those manually selected by experienced microscopists. This makes PickYOLO a valuable tool to substantially reduce the time and manual effort needed to analyse cryoET data for STA, greatly aiding in high-resolution cryoET structure determination.

Note: ich habe keinen Zugriff auf den Volltext, Daniela Waiting for fulltext

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Contributing Institute(s):

1. Informationstechnologie (IT)
2. Strahlkontrollen (MSK)
3. CSSB-UKE-TM (CSSB-UKE-TM)
4. Strukturelle Mikrobiologie CSSB (FS-CS)

Research Program(s):

1. 623 - Data Management and Analysis (POF4-623) (POF4-623)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2023

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Database coverage:
; ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Web of Science Core Collection ; Zoological Record

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