Automated Patterning and Probing with Multiple Nanoscale Tools for Single-Cell Analysis

Abstract

The nano-manipulation approach that combines Focused Ion Beam (FIB) milling and various imaging and probing techniques enables researchers to investigate the cellular structures in three dimensions. Such fusion approach, however, requires extensive effort on locating and examining randomly-distributed targets due to limited Field of View (FOV) when high magnification is desired. In the present study, we present the development that automates ‘pattern and probe’ particularly for single-cell analysis, achieved by computer aided tools including feature recognition and geometric planning algorithms. Scheduling of serial FOVs for imaging and probing of multiple cells was considered as a rectangle covering problem, and optimal or near-optimal solutions were obtained with the heuristics developed. FIB milling was then employed automatically followed by downstream analysis using Atomic Force Microscopy (AFM) to probe the cellular interior. Our strategy was applied to examine bacterial cells (Klebsiella pneumoniae) and achieved high efficiency with limited human interference. The developed algorithms can be easily adapted and integrated with different imaging platforms towards high-throughput imaging analysis of single cells.

Department(s)

Engineering Management and Systems Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Automation; Bacteria; Cells; Computer Aided Analysis; Cytology; Focused Ion Beams; Ion Beams; Milling (machining); Molecular Biology; Optimization; Scheduling Algorithms; Computer Aided Tools; Feature Recognition; Focused Ion Beam Milling; High Magnifications; High-throughput Imaging; Klebsiella Pneumoniae; Near-Optimal Solutions; Randomly Distributed, Atomic Force Microscopy

International Standard Serial Number (ISSN)

0968-4328

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Elsevier, All rights reserved.

Publication Date

01 Oct 2017

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