Super-resolution image acquisition has turned photo-activated far-infrared thermal imaging into a promising tool for the characterization of biological tissues. By the sub-diffraction localization of sparse temperature increments primed by the sample absorption of modulated focused laser light, the distribution of (endogenous or exogenous) photo-thermal biomarkers can be reconstructed at tunable ∼10-50 μm resolution. We focus here on the theoretical modeling of laser-primed temperature variations and provide the guidelines to convert super-resolved temperature-based images into quantitative maps of the absolute molar concentration of photo-thermal probes. We start from camera-based temperature detection via Stefan-Boltzmann's law, and elucidate the interplay of the camera point-spread-function and pixelated sensor size with the excitation beam waist in defining the amplitude of the measured temperature variations. This can be accomplished by the numerical solution of the three-dimensional heat equation in the presence of modulated laser illumination on the sample, which is characterized in terms of thermal diffusivity, conductivity, thickness, and concentration of photo-thermal species. We apply our data-analysis protocol to murine B16 melanoma biopsies, where melanin is mapped and quantified in label-free configuration at sub-diffraction 40 µm resolution. Our results, validated by an unsupervised machine-learning analysis of hematoxylin-and-eosin images of the same sections, suggest potential impact of super-resolved thermography in complementing standard histopathological analyses of melanocytic lesions.

Marini, M., Bouzin, M., Scodellaro, R., D'Alfonso, L., Sironi, L., Granucci, F., et al. (2022). Quantitative active super-resolution thermal imaging: The melanoma case study. BIOMOLECULAR CONCEPTS, 13(1), 242-255 [10.1515/bmc-2022-0015].

Quantitative active super-resolution thermal imaging: The melanoma case study

Marini M.;Bouzin M.;Scodellaro R.;D'Alfonso L.;Sironi L.;Granucci F.;Mingozzi F.;Chirico G.;Collini M.
2022

Abstract

Super-resolution image acquisition has turned photo-activated far-infrared thermal imaging into a promising tool for the characterization of biological tissues. By the sub-diffraction localization of sparse temperature increments primed by the sample absorption of modulated focused laser light, the distribution of (endogenous or exogenous) photo-thermal biomarkers can be reconstructed at tunable ∼10-50 μm resolution. We focus here on the theoretical modeling of laser-primed temperature variations and provide the guidelines to convert super-resolved temperature-based images into quantitative maps of the absolute molar concentration of photo-thermal probes. We start from camera-based temperature detection via Stefan-Boltzmann's law, and elucidate the interplay of the camera point-spread-function and pixelated sensor size with the excitation beam waist in defining the amplitude of the measured temperature variations. This can be accomplished by the numerical solution of the three-dimensional heat equation in the presence of modulated laser illumination on the sample, which is characterized in terms of thermal diffusivity, conductivity, thickness, and concentration of photo-thermal species. We apply our data-analysis protocol to murine B16 melanoma biopsies, where melanin is mapped and quantified in label-free configuration at sub-diffraction 40 µm resolution. Our results, validated by an unsupervised machine-learning analysis of hematoxylin-and-eosin images of the same sections, suggest potential impact of super-resolved thermography in complementing standard histopathological analyses of melanocytic lesions.
Articolo in rivista - Articolo scientifico
hematoxylin-and-eosin stain; infrared thermography; k-means clustering; melanoma; super-resolution imaging;
English
242
255
14
Marini, M., Bouzin, M., Scodellaro, R., D'Alfonso, L., Sironi, L., Granucci, F., et al. (2022). Quantitative active super-resolution thermal imaging: The melanoma case study. BIOMOLECULAR CONCEPTS, 13(1), 242-255 [10.1515/bmc-2022-0015].
Marini, M; Bouzin, M; Scodellaro, R; D'Alfonso, L; Sironi, L; Granucci, F; Mingozzi, F; Chirico, G; Collini, M
File in questo prodotto:
File Dimensione Formato  
Bouzin_biomedConc.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 4.14 MB
Formato Adobe PDF
4.14 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/373926
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
Social impact