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The target region focused imaging method for scanning ion conductance microscopy.

Authors :
Gu, Shengbo
Zhuang, Jian
Wang, Tianying
Hu, Shiting
Song, Weilun
Liao, Xiaobo
Source :
Ultramicroscopy. Mar2024, Vol. 257, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Scanning ion conductance microscopy (SICM) has developed rapidly and has wide applications in biomedicine, single-cell science and other fields. SICM scanning speed is limited by the conventional raster-type scanning method, which spends most of time on imaging the substrate and does not focus enough on the target area. In order to solve this problem, a target region focused (TRF) method is proposed, which can effectively avoid the scanning of unnecessary substrate areas and enables SICM to image the target area only to achieve high-speed and effective local scanning. TRF method and conventional hopping mode scanning method are compared in the experiments using breast cancer cells and rat basophilic leukemia cells as experimental materials. It was demonstrated that our method can reduce the scanning time for a single sample image significantly without losing scanning information or compromising the quality of imaging. The TRF method developed in this paper can provide an efficient and fast scanning strategy for improving the imaging performance of SICM systems, which can be applied to the dynamic features of cell samples in the fields of biology and pharmacology analysis. [Display omitted] • Proposed a method for SICM to save scanning time by subtracting the substrate region. • Reduce scanning time without losing scanning information or lower imaging quality. • For samples with scattered structures, this method demonstrates a better effect. • This method can avoid hopping mode's dependency on the sample's angle. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03043991
Volume :
257
Database :
Academic Search Index
Journal :
Ultramicroscopy
Publication Type :
Academic Journal
Accession number :
174545037
Full Text :
https://doi.org/10.1016/j.ultramic.2023.113910