Abstract

Photoacoustic (PA) spectral analysis (PASA) is a recently developed approach for quantifying molecular components and microscopic architectures in tissue. The PASA relies on signals with sufficient temporal length and narrow dynamic range for statistics based analysis. However, the optical and acoustic attenuation within the biological tissue make it difficult to acquire desirable signals from deep locations in biological tissue for PASA. This study proposes an interstitial PASA approach. By combining a fiber optics diffuser and a small aperture needle hydrophone, a fine needle PA probe facilitates PASA in deep tissue. A prototype probe has been fabricated and tested in quantifying the prostate cancer cell concentrations in vitro and lipid infiltrated hepatocyte in liver ex vivo. Experiment results show that the needle probe could potentially provide pathologic information of the tissues.

Highlights

  • Photoacoustic (PA) spectral analysis (PASA) is a recently developed technology with the capability of quantifying the histologic information in biological tissue [1,2,3,4,5,6]

  • The PASA relies on signals with sufficient temporal length and narrow dynamic range for statistics based analysis

  • This study proposes an interstitial PASA approach

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Summary

Introduction

Photoacoustic (PA) spectral analysis (PASA) is a recently developed technology with the capability of quantifying the histologic information in biological tissue [1,2,3,4,5,6]. By frequency domain analysis of the radiofrequency PA signals, the repetitive microscopic architectures and the content of molecular components in the assessed tissue volume can be statistically quantified. We have successfully quantified the microscopic architectures in mouse livers in situ [6] and human prostate tissues ex vivo [7]. Using flat end [10] or conical tip [8, 9] fiber optics, previous studies have successfully generated PA signals in biological tissues with sufficient sampling volume. Delicate signal components in tissue region far from the illumination source are lost due to the limited dynamic range of the data acquisition system

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