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Related Experiment Video

Updated: Nov 1, 2025

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
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Visually precise, low-damage, single-cell spatial manipulation with single-pixel resolution.

Qi Zhang1, Yunlong Shao1, Boye Li1

  • 1Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Department of Chemistry and Biology, Beijing University of Technology Beijing 100124 China xiayanwang@bjut.edu.cn gsguo@bjut.edu.cn.

Chemical Science
|June 24, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new imaging system for precise single-cell manipulation. It corrects optical distortions, enabling accurate intracellular delivery and extraction with minimal cell damage.

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Area of Science:

  • Biotechnology
  • Cell Biology
  • Microscopy

Background:

  • Analyzing single living cells is crucial for understanding cellular processes and heterogeneity.
  • Standard microscopy faces challenges with 2D views and optical distortions, hindering precise intracellular manipulation.

Purpose of the Study:

  • To develop an accurate and visual system for single-cell spatial manipulation.
  • To overcome limitations in current microscopy for high-precision intracellular tasks.

Main Methods:

  • Developed a system for simultaneous bright-field triple-view imaging.
  • Implemented aberration correction for undistorted imaging.
  • Utilized stereo information for enhanced spatial resolution.

Main Results:

  • Achieved precise spatial localization of subcellular structures (±5° rotation).
  • Demonstrated visual manipulation of a probe to arbitrary cellular points with <1 pixel accuracy.
  • Enabled accurate and less destructive subcellular content extraction and drug delivery.

Conclusions:

  • The novel triple-view imaging system significantly improves accuracy in single-cell manipulation.
  • This technology facilitates advanced intracellular analysis, drug delivery, and content extraction.