A Vision-guided Methodology for the Automation of Biological Cell Injection

Ferhat Sadak; Mozafar Saadat; Amir M. Hajiyavand

doi:10.1109/ICECIE50279.2020.9309654

A Vision-guided Methodology for the Automation of Biological Cell Injection

Ferhat Sadak, Mozafar Saadat, Amir M. Hajiyavand^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Microinjection is a technique in which a foreign material is introduced into the biological cell using micropipettes. Vision sensing and servoing play a crucial role in the automation of various microinjection operations in medical devices. This study proposes a vision-based technique that has been developed towards the automation of microinjection applications. This study provides a comprehensive algorithm that can detect the injection and holding pipette as a part of the injection system and then automatically align them in three orthogonal axes. The tip of the injection pipette was successfully measured at various magnifications. The zebrafish embryo as a biological model is automatically detected and positioned within the field of view (FOV) of the microscope in real-time regardless of its initial position. The algorithm has been examined and verified for the proposed technique to successfully conduct full operations including alignment of the pipettes, detection of the tip position of the injection pipette at various magnifications and positioning the zebrafish embryo to the FOV of the microscope.

Original language	English
Title of host publication	ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781728198774
DOIs	https://doi.org/10.1109/ICECIE50279.2020.9309654
Publication status	Published - 28 Nov 2020
Event	2nd International Conference on Electrical, Control and Instrumentation Engineering, ICECIE 2020 - Kuala Lumpur, Malaysia Duration: 28 Nov 2020 → …

Publication series

Name	ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings

Conference

Conference	2nd International Conference on Electrical, Control and Instrumentation Engineering, ICECIE 2020
Country/Territory	Malaysia
City	Kuala Lumpur
Period	28/11/20 → …

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors would like to thank UK’s EPSRC for supporting aspects of this work.

Publisher Copyright:
© 2020 IEEE.

Keywords

autofocusing
automation
deep learning
microinjection
vision and sensing

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering
Control and Optimization
Instrumentation

Access to Document

10.1109/ICECIE50279.2020.9309654

Cite this

Sadak, F., Saadat, M., & Hajiyavand, A. M. (2020). A Vision-guided Methodology for the Automation of Biological Cell Injection. In ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings Article 9309654 (ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICECIE50279.2020.9309654

Sadak, Ferhat ; Saadat, Mozafar ; Hajiyavand, Amir M. / A Vision-guided Methodology for the Automation of Biological Cell Injection. ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2020. (ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings).

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abstract = "Microinjection is a technique in which a foreign material is introduced into the biological cell using micropipettes. Vision sensing and servoing play a crucial role in the automation of various microinjection operations in medical devices. This study proposes a vision-based technique that has been developed towards the automation of microinjection applications. This study provides a comprehensive algorithm that can detect the injection and holding pipette as a part of the injection system and then automatically align them in three orthogonal axes. The tip of the injection pipette was successfully measured at various magnifications. The zebrafish embryo as a biological model is automatically detected and positioned within the field of view (FOV) of the microscope in real-time regardless of its initial position. The algorithm has been examined and verified for the proposed technique to successfully conduct full operations including alignment of the pipettes, detection of the tip position of the injection pipette at various magnifications and positioning the zebrafish embryo to the FOV of the microscope.",

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Sadak, F, Saadat, M & Hajiyavand, AM 2020, A Vision-guided Methodology for the Automation of Biological Cell Injection. in ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings., 9309654, ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2nd International Conference on Electrical, Control and Instrumentation Engineering, ICECIE 2020, Kuala Lumpur, Malaysia, 28/11/20. https://doi.org/10.1109/ICECIE50279.2020.9309654

A Vision-guided Methodology for the Automation of Biological Cell Injection. / Sadak, Ferhat; Saadat, Mozafar ; Hajiyavand, Amir M.
ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2020. 9309654 (ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Microinjection is a technique in which a foreign material is introduced into the biological cell using micropipettes. Vision sensing and servoing play a crucial role in the automation of various microinjection operations in medical devices. This study proposes a vision-based technique that has been developed towards the automation of microinjection applications. This study provides a comprehensive algorithm that can detect the injection and holding pipette as a part of the injection system and then automatically align them in three orthogonal axes. The tip of the injection pipette was successfully measured at various magnifications. The zebrafish embryo as a biological model is automatically detected and positioned within the field of view (FOV) of the microscope in real-time regardless of its initial position. The algorithm has been examined and verified for the proposed technique to successfully conduct full operations including alignment of the pipettes, detection of the tip position of the injection pipette at various magnifications and positioning the zebrafish embryo to the FOV of the microscope.

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Sadak F, Saadat M , Hajiyavand AM. A Vision-guided Methodology for the Automation of Biological Cell Injection. In ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings. Institute of Electrical and Electronics Engineers (IEEE). 2020. 9309654. (ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings). doi: 10.1109/ICECIE50279.2020.9309654

A Vision-guided Methodology for the Automation of Biological Cell Injection

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this