Large area metal surface characterization using plasmonic random laser based imaging technique

Large area metal surface characterization using plasmonic random laser based imaging technique

We report the use of an incoherent random laser for high resolution, artefact-free wide field microscopic imaging of metal surfaces, enabling large area surface characterization.

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Main Authors: Gayathri, Radhakrishn, Suchand Sandeep, Chandramathi Sukumaran, Vijayan, C., Murukeshan, Vadakke Matham
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2024
Subjects:
Physics
Random lasing
Wide-field imaging
Metal characterization
Online Access:https://hdl.handle.net/10356/173893
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-173893
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spelling sg-ntu-dr.10356-1738932024-03-16T16:47:43Z Large area metal surface characterization using plasmonic random laser based imaging technique Gayathri, Radhakrishn Suchand Sandeep, Chandramathi Sukumaran Vijayan, C. Murukeshan, Vadakke Matham School of Mechanical and Aerospace Engineering Optica Advanced Photonics Congress 2022 Centre for Optical and Laser Engineering Physics Random lasing Wide-field imaging Metal characterization We report the use of an incoherent random laser for high resolution, artefact-free wide field microscopic imaging of metal surfaces, enabling large area surface characterization. Ministry of Education (MOE) Submitted/Accepted version The authors acknowledge the financial support received through the Ministry of Education, Singapore (MOE RG 119/21) and COLE-EDB, NTU. 2024-03-11T07:30:25Z 2024-03-11T07:30:25Z 2022 Conference Paper Gayathri, R., Suchand Sandeep, C. S., Vijayan, C. & Murukeshan, V. M. (2022). Large area metal surface characterization using plasmonic random laser based imaging technique. Optica Advanced Photonics Congress 2022. https://dx.doi.org/10.1364/NOMA.2022.NoW5D.4 978-1-957171-16-6 https://hdl.handle.net/10356/173893 10.1364/NOMA.2022.NoW5D.4 en MOE RG119/21 © 2022 The Author(s). Published by Optica Publishing Group. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1364/NOMA.2022.NoW5D.4. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Physics
Random lasing
Wide-field imaging
Metal characterization
spellingShingle Physics
Random lasing
Wide-field imaging
Metal characterization
Gayathri, Radhakrishn
Suchand Sandeep, Chandramathi Sukumaran
Vijayan, C.
Murukeshan, Vadakke Matham
Large area metal surface characterization using plasmonic random laser based imaging technique
description We report the use of an incoherent random laser for high resolution, artefact-free wide field microscopic imaging of metal surfaces, enabling large area surface characterization.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Gayathri, Radhakrishn
Suchand Sandeep, Chandramathi Sukumaran
Vijayan, C.
Murukeshan, Vadakke Matham
format Conference or Workshop Item
author Gayathri, Radhakrishn
Suchand Sandeep, Chandramathi Sukumaran
Vijayan, C.
Murukeshan, Vadakke Matham
author_sort Gayathri, Radhakrishn
title Large area metal surface characterization using plasmonic random laser based imaging technique
title_short Large area metal surface characterization using plasmonic random laser based imaging technique
title_full Large area metal surface characterization using plasmonic random laser based imaging technique
title_fullStr Large area metal surface characterization using plasmonic random laser based imaging technique
title_full_unstemmed Large area metal surface characterization using plasmonic random laser based imaging technique
title_sort large area metal surface characterization using plasmonic random laser based imaging technique
publishDate 2024
url https://hdl.handle.net/10356/173893
_version_ 1794549425913200640

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