Multi-spectral image processing for the measurement of a spatial temperature distribution on the surface of a laser-heated microscopic object
Bulatov K.M., Mantrova Y.V., Bykov A.A., Gaponov M.I., Zinin P.V., Machikhin A.S., Troyan I.A., Batshev V.I., Kutuza I.B.


Scientific-Technological Center of Unique Instrumentation, Moscow, Russia,
Moscow Power Engineering University, Moscow, Russia,

Hawaii Institute of Geophysics and Planetology, University of Hawaii, Honolulu, USA,

FSRC Crystallography and Photonics, Russian Academy of Sciences, Moscow, Russia


In this paper, we demonstrate that combining a laser heating (LH) system with a tandem acousto-optical tunable filter (TAOTF) allows us to measure the temperature distribution (TD) across a laser-heated microscopic specimen. Spectral image processing is based on one-dimensional (1D) non-linear least squares fitting of the Planck radiation function. It is applied for determining the temperature T at each point (xy) of the specimen surface. It is shown that spectral image processing using the 1D non-linear least squares fitting allows measurement of the TD of the laser-heated microscopic specimen with higher precision and stability than those of the conventional linear least-squares fitting of the Wien approximation of Planck’s law.

laser heating, diamond anvil cell, temperature measurement, acousto-optical tunable filter, spectral imaging.

Bulatov KM, Mantrova YV, Bykov AA, Gaponov MI, Zinin PV, Machikhin AS, Troyan IA, Batshev VI, Kutuza IB. Multi-spectral image processing for the measurement of a spatial temperature distribution on the surface of a laser-heated microscopic object. Computer Optics 2017; 41(6): 864-868. DOI: 10.18287/2412-6179-2017-41-6-864-868.


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