Abstract

Three-dimensional (3D) quantitative phase imaging (QPI) enables long-term label-free tomographic imaging and quantitative analysis of live individual bacteria. However, the Brownian motion or motility of bacteria in a liquid medium produces motion artifacts during 3D measurements and hinders precise cell imaging and analysis. Meanwhile, existing cell immobilization methods produce noisy backgrounds and even alter cellular physiology. Here, we introduce a protocol that utilizes hydrogels for high-quality 3D QPI of live bacteria maintaining bacterial physiology. We demonstrate long-term high-resolution quantitative imaging and analysis of individual bacteria, including measuring the biophysical parameters of bacteria and responses to antibiotic treatments.

Details

Title
Long-term label-free assessments of individual bacteria using three-dimensional quantitative phase imaging and hydrogel-based immobilization
Author
Shin, Jeongwon 1 ; Kim, Geon 2 ; Park, Jinho 3 ; Lee, Moosung 2 ; Park, YongKeun 4 

 Korea Advanced Institute of Science and Technology (KAIST), Department of Biological Sciences, Daejeon, South Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500) 
 Korea Advanced Institute of Science and Technology (KAIST), Department of Physics, Daejeon, South Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500); Korea Advanced Institute of Science and Technology (KAIST), KAIST Institute for Health Science and Technology, Daejeon, South Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500) 
 Korea Advanced Institute of Science and Technology (KAIST), Department of Physics, Daejeon, South Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500) 
 Korea Advanced Institute of Science and Technology (KAIST), Department of Physics, Daejeon, South Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500); Korea Advanced Institute of Science and Technology (KAIST), KAIST Institute for Health Science and Technology, Daejeon, South Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500); Tomocube Inc., Daejeon, South Korea (GRID:grid.37172.30) 
Pages
46
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2760026290
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.