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Related Experiment Video

Updated: Feb 25, 2026

Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies

Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies

Published on: June 12, 2018

Automated patterning and probing with multiple nanoscale tools for single-cell analysis.

Jiayao Li¹, Yeonuk Kim¹, Boyin Liu¹

¹Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia.

Micron (Oxford, England : 1993)

|August 4, 2017

Summary

This summary is machine-generated.

This study introduces an automated nano-manipulation method for 3D cellular analysis, enhancing efficiency in examining bacterial cells with minimal human intervention using focused ion beam milling and atomic force microscopy.

Keywords:

Atomic force microscopy Automation Focused ion beam

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Last Updated: Feb 25, 2026

Large-area Scanning Probe Nanolithography Facilitated by Automated Alignment and Its Application to Substrate Fabrication for Cell Culture Studies

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Area of Science:

Cellular biology
Nanotechnology
Microscopy

Background:

Investigating 3D cellular structures requires advanced nano-manipulation techniques.
Current methods using Focused Ion Beam (FIB) milling and probing are labor-intensive due to challenges in locating targets at high magnifications and limited Field of View (FOV).

Purpose of the Study:

To develop an automated 'pattern and probe' strategy for single-cell analysis.
To enhance the efficiency and reduce human interference in high-throughput cellular imaging and probing.

Main Methods:

Development of computer-aided tools with feature recognition and geometric planning algorithms for automated target identification and manipulation.
Application of heuristic algorithms to solve the 'rectangle covering problem' for optimal scheduling of serial Fields of View (FOVs).
Integration of automated FIB milling with downstream Atomic Force Microscopy (AFM) for cellular interior probing.

Main Results:

Successful implementation of an automated nano-manipulation workflow for 3D cellular analysis.
Demonstrated high efficiency in examining bacterial cells (Klebsiella pneumoniae) with significantly reduced manual effort.
The developed algorithms effectively managed serial FOV scheduling for multiple cell targets.

Conclusions:

The automated 'pattern and probe' strategy significantly improves efficiency in 3D single-cell analysis.
The developed algorithms are adaptable to various imaging platforms, paving the way for high-throughput cellular imaging.
This approach minimizes human interference, making complex nano-manipulation tasks more accessible.