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Experimental data supporting the University of Southampton Doctoral Thesis "A novel sensitive coherent Raman imaging method for cellular imaging of photodynamic agents"

Experimental data supporting the University of Southampton Doctoral Thesis "A novel sensitive coherent Raman imaging method for cellular imaging of photodynamic agents"
Experimental data supporting the University of Southampton Doctoral Thesis "A novel sensitive coherent Raman imaging method for cellular imaging of photodynamic agents"
This dataset is supporting the University of Southampton Doctoral Thesis "A novel sensitive coherent Raman imaging method for cellular imaging of photodynamic agent
Pre-resonance, Raman, CARS, SF-CARS, electronic resonance, coherent Raman Imaging, Photonics
University of Southampton
Read, James Arthur
d2fef987-7772-42d1-a05f-aba7f32c2871
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
Read, James Arthur
d2fef987-7772-42d1-a05f-aba7f32c2871
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9

Read, James Arthur and Mahajan, Sumeet (2024) Experimental data supporting the University of Southampton Doctoral Thesis "A novel sensitive coherent Raman imaging method for cellular imaging of photodynamic agents". University of Southampton doi:10.5258/SOTON/D2793 [Dataset]

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Abstract

This dataset is supporting the University of Southampton Doctoral Thesis "A novel sensitive coherent Raman imaging method for cellular imaging of photodynamic agent

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More information

Published date: February 2024
Keywords: Pre-resonance, Raman, CARS, SF-CARS, electronic resonance, coherent Raman Imaging, Photonics

Identifiers

Local EPrints ID: 486962
URI: http://eprints.soton.ac.uk/id/eprint/486962
PURE UUID: f7b81aa2-3994-4a40-b2a9-433d58772ae5
ORCID for James Arthur Read: ORCID iD orcid.org/0000-0001-5923-1688
ORCID for Sumeet Mahajan: ORCID iD orcid.org/0000-0001-8923-6666

Catalogue record

Date deposited: 08 Feb 2024 17:48
Last modified: 20 Feb 2024 03:00

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Contributors

Creator: James Arthur Read ORCID iD
Creator: Sumeet Mahajan ORCID iD

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