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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
d1na00866h.pdf | 935.52 kB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
50
3
Updated on Nov 26, 2023
Web of ScienceTM
Citations
50
3
Updated on Oct 24, 2023
Page view(s)
205
Updated on Nov 29, 2023
Download(s)
15
Updated on Nov 29, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.