Multimodal photoacoustic-fluorescence microscopy for quantitative absorption coefficient mapping and precision lesion tracking in disease models

We present an integrated multimodal imaging system combining optical-resolution photoacoustic microscopy (OR-PAM) and fluorescence microscopy for quantitative mapping of optical absorption coefficients ( μ a ) in biological tissues. Our platform synergistically merges the molecular specificity of fluorescence imaging with OR-PAM’s depth-resolved quantitative capabilities, enabling precise lesion localization and physiological monitoring. Our system features a novel reconstruction algorithm that integrates Monte Carlo light transport simulations with custom OR-PAM, enabling absolute μ a determination − a capability unattainable with fluorescence microscopy and distinct from conventional OR-PAM approaches. The simulation experiment measured the optical absorption coefficient of blood vessels at 532 nm as 238 cm –1 , showing a 3.4 % deviation from the theoretical value of 230.5 cm –1 (data sourced from the MCML software package). Experimental validation across three model systems demonstrated its diagnostic potential: (1) inflammatory monitoring revealed a 7.9 % μ a increase at infection sites (258 vs. 239 cm –1 in normal vasculature, p < 0.001) within 12 h; (2) tumor tracking showed 5.5 % higher μ a in tumor vasculature (252 vs. 237 cm –1 ); and (3) cerebral vascular imaging achieved μ a quantification (235 cm –1 ) following blood–brain barrier opening. These results establish that fluorescence microscopy provides exceptional molecular tracking capability, while OR-PAM delivers quantitative μ a differences critical for distinguishing pathological tissues, offering a powerful tool for both fundamental research and clinical diagnostics.

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Publication Details

Journal
Optics & Laser Technology
Published
2025-09-29
DOI
https://doi.org/10.1016/j.optlastec.2025.113940
Primary Topic
Dialysis and Renal Disease Management
Type
article
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article

Multimodal photoacoustic-fluorescence microscopy for quantitative absorption coefficient mapping and precision lesion tracking in disease models

Optics & Laser Technology
Dialysis and Renal Disease Management
article

Multimodal photoacoustic-fluorescence microscopy for quantitative absorption coefficient mapping and precision lesion tracking in disease models

article en

Abstract

We present an integrated multimodal imaging system combining optical-resolution photoacoustic microscopy (OR-PAM) and fluorescence microscopy for quantitative mapping of optical absorption coefficients ( μ a ) in biological tissues. Our platform synergistically merges the molecular specificity of fluorescence imaging with OR-PAM’s depth-resolved quantitative capabilities, enabling precise lesion localization and physiological monitoring. Our system features a novel reconstruction algorithm that integrates Monte Carlo light transport simulations with custom OR-PAM, enabling absolute μ a determination − a capability unattainable with fluorescence microscopy and distinct from conventional OR-PAM approaches. The simulation experiment measured the optical absorption coefficient of blood vessels at 532 nm as 238 cm –1 , showing a 3.4 % deviation from the theoretical value of 230.5 cm –1 (data sourced from the MCML software package). Experimental validation across three model systems demonstrated its diagnostic potential: (1) inflammatory monitoring revealed a 7.9 % μ a increase at infection sites (258 vs. 239 cm –1 in normal vasculature, p < 0.001) within 12 h; (2) tumor tracking showed 5.5 % higher μ a in tumor vasculature (252 vs. 237 cm –1 ); and (3) cerebral vascular imaging achieved μ a quantification (235 cm –1 ) following blood–brain barrier opening. These results establish that fluorescence microscopy provides exceptional molecular tracking capability, while OR-PAM delivers quantitative μ a differences critical for distinguishing pathological tissues, offering a powerful tool for both fundamental research and clinical diagnostics.

Optics & Laser TechnologyVol. 192
Fujian Normal University (CN), Fuzhou Second Hospital (CN)
Openalex Percentile: Top 41%
Dialysis and Renal Disease Management
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