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Acquisition and processing of high-speed atomic force microscopy videos for single amyloid aggregate observation
- Source :
- Methods. 197:4-12
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- The structural dynamics of the amyloid protein aggregation process are associated with neurodegenerative diseases, including Alzheimer's disease and Parkinson's disease. High-speed atomic force microscopy (HS-AFM) is able to visualize the structural dynamics of individual aggregate species that otherwise cannot be distinguished. HS-AFM observations also detect impurities in the sample, and thus, experiments require relatively high sample purity. To derive valid information regarding the structural dynamics of the sample from the high-speed AFM images, a correction of the influence caused by the drift of the stage (scanner) from all frames is required. However, correcting the HS-AFM videos that consist of a large number of images requires significant effort. Here, using HS-AFM observation of α-synuclein fibril elongation as an example, we propose an HS-AFM image processing procedure to correct stage drift in the x-, y-, and z-directions with the free software ImageJ. ImageJ with default settings and our plugins attached to this article can process and analyze image stacks, which allow users to easily detect and show the temporal change in sample structures. This processing method can be automatically applied to numerous HS-AFM videos by batch processing with a series of ImageJ macrofunctions.
- Subjects :
- Amyloid
0303 health sciences
Scanner
Computer science
business.industry
Atomic force microscopy
030302 biochemistry & molecular biology
Aggregate (data warehouse)
Process (computing)
Image processing
Microscopy, Atomic Force
Sample (graphics)
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Software
Alzheimer Disease
Batch processing
Humans
Computer vision
Artificial intelligence
business
Molecular Biology
030304 developmental biology
Subjects
Details
- ISSN :
- 10462023
- Volume :
- 197
- Database :
- OpenAIRE
- Journal :
- Methods
- Accession number :
- edsair.doi.dedup.....22260e56b8462a25bdd8f7ec142500cb
- Full Text :
- https://doi.org/10.1016/j.ymeth.2021.06.006