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Removing the parachuting artifact using two-way scanning data in high-speed atomic force microscopy.
Kubo, Shintaroh; Umeda, Kenichi; Kodera, Noriyuki; Takada, Shoji.
Affiliation
  • Kubo S; Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
  • Umeda K; WPI Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma, Kanazawa, Ishikawa 920-1192, Japan.
  • Kodera N; WPI Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma, Kanazawa, Ishikawa 920-1192, Japan.
  • Takada S; Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
Biophys Physicobiol ; 20(1): e200006, 2023.
Article in En | MEDLINE | ID: mdl-37234854
The high-speed atomic force microscopy (HS-AFM) is a unique and prominent method to observe structural dynamics of biomolecules at single molecule level at near-physiological condition. To achieve high temporal resolution, the probe tip scans the stage at high speed which can cause the so-called parachuting artifact in the HS-AFM images. Here, we develop a computational method to detect and remove the parachuting artifact in HS-AFM images using the two-way scanning data. To merge the two-way scanning images, we employed a method to infer the piezo hysteresis effect and to align the forward- and backward-scanning images. We then tested our method for HS-AFM videos of actin filaments, molecular chaperone, and duplex DNA. Together, our method can remove the parachuting artifact from the raw HS-AFM video containing two-way scanning data and make the processed video free from the parachuting artifact. The method is general and fast so that it can easily be applied to any HS-AFM videos with two-way scanning data.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biophys Physicobiol Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biophys Physicobiol Year: 2023 Document type: Article Affiliation country: Country of publication: