Image-Based Gel Encapsulation of Suspended Single Cells for Parallel Single-Cell Screening

Author:

Selvam Venkatesh Kumar Panneer1,Kamaludin Muhammad Luqman Arief Bin1,Murtaza Ghulam1,Chowdhury Rifat Hussain1,Debnath Tanmay1,Okamoto Shunya1,Shibata Takayuki1ORCID,Santra Tuhin Subhra2ORCID,Nagai Moeto13ORCID

Affiliation:

1. Department of Mechanical Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi 441-8580, Japan

2. Department of Engineering Design, Indian Institute of Technology, Chennai, Tamil Nadu 600 036, India

3. Institute for Research on Next-generation Semiconductor and Sensing Science, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi 441-8580, Japan

Abstract

Single-cell screening, which has revolutionized the life sciences, is an important method for detecting, separating, or treating specific cells based on desired characteristics. Previously, single cells of interest were manually identified in an image, which required human labor and time. We developed an automated photopolymerization system to encapsulate suspended single cells in approximately 50-µm photo-crosslinkable hydrogel squares. An image was captured, and single cells were selected from grouped cells based on image processing. A generated image was transferred to a digital micromirror device (DMD), and in parallel, target-suspended single cells were encapsulated in gelatin methacryloyl (GelMA) hydrogels. We built a data transfer platform based on a Power Automate Desktop (PAD), completed the data transfer, and projected the processed image onto a sample in 10 s, ensuring a minimum alignment error of 6.2 µm.

Funder

Amano Institute of Technology

Ministry of Education, Culture, Sports, Science and Technology

Japan Society for the Promotion of Science

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

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