Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159352
Title: Imaging-based optofluidic biolaser array encapsulated with dynamic living organisms
Authors: Gong, Xuerui
Feng, Shilun
Qiao, Zhen
Chen, Yu-Cheng
Keywords: Engineering::Electrical and electronic engineering
Engineering::Bioengineering
Issue Date: 2021
Source: Gong, X., Feng, S., Qiao, Z. & Chen, Y. (2021). Imaging-based optofluidic biolaser array encapsulated with dynamic living organisms. Analytical Chemistry, 93(14), 5823-5830. https://dx.doi.org/10.1021/acs.analchem.1c00020
Project: A2084c0063
NAP SUG-M4082308.040
Journal: Analytical Chemistry 
Abstract: Optofluidic biolasers have emerged as promising tools for biomedical analysis due to their strong light-matter interactions and miniaturized size. Recent developments in optofluidic lasers have opened a new Frontier in monitoring biological processes. However, most biolasers require precise recording of the lasing spectrum at the single cavity level, which limits its application in high-throughput applications. Herein, a microdroplet laser array encapsulated with living Escherichia coli was printed on highly reflective mirrors, where laser emission images were employed to reflect the dynamic changes in living organisms. The concept of image-based lasing analysis was proposed by quantifying the integrated pixel intensity of the lasing image from whispering-gallery modes. Finally, dynamic interactions between E. coli and antibiotic drugs were compared under fluorescence and laser emission images. The amplification that occurred during laser generation enabled the quantification of tiny biological changes in the gain medium. Laser imaging presented a significant increase in integrated pixel intensity by 2 orders of magnitude. Our findings demonstrate that image-based lasing analysis is more sensitive to dynamic changes than fluorescence analysis, paving the way for high-throughput on-chip laser analysis of living organisms.
URI: https://hdl.handle.net/10356/159352
ISSN: 0003-2700
DOI: 10.1021/acs.analchem.1c00020
Schools: School of Electrical and Electronic Engineering 
School of Chemical and Biomedical Engineering 
Rights: © 2021 American Chemical Society. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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