Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161134
Title: Plasmonic random laser enabled artefact-free wide-field fluorescence bioimaging: uncovering finer cellular features
Authors: Gayathri, R.
Suchand Sandeep, Chandramathi Sukumaran
Gummaluri, Venkata Siva
Asik, R. Mohamed
Padmanabhan, Parasuraman
Gulyás, Balazs
Vijayan, C.
Murukeshan, Vadakke Matham
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Gayathri, R., Suchand Sandeep, C. S., Gummaluri, V. S., Asik, R. M., Padmanabhan, P., Gulyás, B., Vijayan, C. & Murukeshan, V. M. (2022). Plasmonic random laser enabled artefact-free wide-field fluorescence bioimaging: uncovering finer cellular features. Nanoscale Advances, 4(10), 2278-2287. https://dx.doi.org/10.1039/d1na00866h
Project: RG 192/17
Journal: Nanoscale Advances
Abstract: Narrow bandwidth, high brightness, and spectral tunability are the unique properties of lasers that make them extremely desirable for fluorescence imaging applications. However, due to the high spatial coherence, conventional lasers are often incompatible for wide-field fluorescence imaging. The presence of parasitic artefacts under coherent illumination causes uneven excitation of fluorophores, which has a critical impact on the reliability, resolution, and efficiency of fluorescence imaging. Here, we demonstrate artefact-free wide-field fluorescence imaging with a bright and low threshold silver nanorod based plasmonic random laser, offering the capability to image finer cellular features with sub-micrometer resolution even in highly diffusive biological samples. A spatial resolution of 454 nm and up to 23% enhancement in the image contrast in comparison to conventional laser illumination are attained. Based on the results presented in this paper, random lasers, with their laser-like properties and spatial incoherence are envisioned to be the next-generation sources for developing highly efficient wide-field fluorescence imaging systems having high spatial and temporal resolution for real-time, in vivo bioimaging.
URI: https://hdl.handle.net/10356/161134
ISSN: 2516-0230
DOI: 10.1039/d1na00866h
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
School of Mechanical and Aerospace Engineering 
Research Centres: Centre for Optical and Laser Engineering 
Cognitive Neuroimaging Centre
Rights: © 2022 The Author(s). Published by the Royal Society of Chemistry. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles
MAE Journal Articles

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