2022
DOI: 10.3389/fmolb.2022.919994
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Accelerated 2D Classification With ISAC Using GPUs

Abstract: A widely used approach to analyze single particles in electron microscopy data is 2D classification. This process is very computationally expensive, especially when large data sets are analyzed. In this paper we present GPU ISAC, a newly developed, GPU-accelerated version of the established Iterative Stable Alignment and Clustering (ISAC) algorithm for 2D images and generating class averages. While the previously existing implementation of ISAC relied on a computer cluster, GPU ISAC enables users to produce hi… Show more

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Cited by 6 publications
(3 citation statements)
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“…Using customized scripts, each subtomogram was rotated to orient the thin filaments parallel to the X-Y plane using the previous angles from the tracing. Then, the central slab of 100 slices was projected and used as an input for 2D classification with ISAC [57][58][59] . The classes that did not show a clear presence of thin filaments were discarded and the remaining segments were re-extracted as subtomograms and processed in RELION 3.1 (refs.…”
Section: Thin Filament Processing Pipeline Model Building and Visuali...mentioning
confidence: 99%
“…Using customized scripts, each subtomogram was rotated to orient the thin filaments parallel to the X-Y plane using the previous angles from the tracing. Then, the central slab of 100 slices was projected and used as an input for 2D classification with ISAC [57][58][59] . The classes that did not show a clear presence of thin filaments were discarded and the remaining segments were re-extracted as subtomograms and processed in RELION 3.1 (refs.…”
Section: Thin Filament Processing Pipeline Model Building and Visuali...mentioning
confidence: 99%
“…The used processing strategy was essentially the same as reported in our previous work 8 . Briefly, the extracted particles were first 2D classified using ISAC2 (refs 64, 65 ) in helical mode and all non-protein picks were discarded. The particles were then refined using meridien alpha, which imposes helical restraints to limit particle shifts to the helical rise (set to 27.5 Å) to prevent particle duplication, but does not apply helical symmetry 55 .…”
Section: Methodsmentioning
confidence: 99%
“…Particles in representative micrographs were manually picked to train a model, which was then used for automated particle picking in crYOLO 1.8.1 83 , selecting 1,259,079 particles with a box size of 384 ×384 pixels. Subsequently, 2D classification was performed using the iterative stable alignment clustering method (ISAC) with 200 particles/class 84 , 85 . After manually sorting out the “low quality” 2D classes, 605,359 particles remained.…”
Section: Methodsmentioning
confidence: 99%