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Related Experiment Video

Updated: May 4, 2026

Manipulation of Single Neural Stem Cells and Neurons in Brain Slices using Robotic Microinjection

Manipulation of Single Neural Stem Cells and Neurons in Brain Slices using Robotic Microinjection

Published on: January 21, 2021

A fully automated system for adherent cells microinjection.

Gabriele Becattini, Leonardo S Mattos, Darwin G Caldwell

IEEE Journal of Biomedical and Health Informatics

|January 10, 2014

Summary

This summary is machine-generated.

An automated robotic system automates cell microinjections, improving efficiency and precision over manual methods. This biomanipulation tool uses computer vision and robotics for accurate cell targeting and injection, outperforming human operators.

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Related Experiment Videos

Last Updated: May 4, 2026

Manipulation of Single Neural Stem Cells and Neurons in Brain Slices using Robotic Microinjection

Manipulation of Single Neural Stem Cells and Neurons in Brain Slices using Robotic Microinjection

Published on: January 21, 2021

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Microinjection-based System for In Vivo Implantation of Embryonic Cardiomyocytes in the Avian Embryo

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Published on: February 17, 2019

Area of Science:

Biotechnology
Robotics
Cell Biology

Background:

Manual cell microinjection is a complex, time-consuming procedure requiring high operator skill.
Existing methods often rely on chemical markers or specialized equipment, limiting throughput and accessibility.

Purpose of the Study:

To develop an automated robotic system for precise cell microinjection.
To overcome the limitations of manual microinjection using computer vision and robotic control.

Main Methods:

A multitask software framework integrating computer vision (pipette tracking, automatic cell targeting) and a two-stage robotic system.
Utilized bright-field microscopy with threshold-based image processing on defocused images for cell segmentation without chemical markers.
Achieved automated cell targeting and microinjection with a fluorescent marker.

Main Results:

The system demonstrated an average injection rate of 7.6 cells/min with 0.23 μm pipette positioning precision.
Achieved an 87% correct cell detection rate and a 67.5% successful marker delivery rate across over 500 cells (CHO-K1 and HEK).

Conclusions:

The automated robotic system offers superior performance compared to expert human operators for cell microinjection.
The developed system shows significant potential for large-scale applications in biomanipulation and cell biology research.