Fluorescence spectra shape based dynamic thermometry

Autor: Yuliar Firdaus, Liwang Liu, Mansour Kouyaté, Mark Van der Auweraer, Sebastiaan Creten, Jose Jesus Agustin Flores Cuautle, Christ Glorieux
Rok vydání: 2014
Předmět:
Zdroj: Applied Physics Letters. 104:031902
ISSN: 1077-3118
0003-6951
DOI: 10.1063/1.4862921
Popis: An entirely optical, dynamic thermometry technique based on the temperature dependence of a fluorescence spectrum is presented. Different from conventional intensity-based fluorescence thermometry, in this work, neural network recognition is employed to extract the sample temperature from the magnitude and shape of recorded fluorescence spectra. As a demonstration to determine the depth profile of dynamical temperature variations and of the thermal and optical properties of semitransparent samples, in-depth photothermally induced periodical temperature oscillations of a rhodamine B and copper chloride dyed glycerol sample were measured with an accuracy of 4.2 mK·Hz−1/2 and fitted well by a 1D thermal diffusion model.
Databáze: OpenAIRE