Abstract

Fluorescence is a powerful tool for in-vivo imaging in living animals. The traditional in-vivo fluorescence imaging equipment is based on single-view two-dimensional imaging systems. However, they cannot meet the needs for accurate positioning during modern scientific research. A near-infrared in-vivo fluorescence imaging system is demonstrated, which has the capability of deep source signal detecting and three-dimensional positioning. A three-dimensional coordinates computing (TDCP) method including a preprocess algorithm is presented based on binocular stereo vision theory, to figure out the solution for diffusive nature of light in tissue and the emission spectra overlap of fluorescent labels. This algorithm is validated to be efficient to extract targets from multispectral images and determine the spot center of biological interests. Further data analysis indicates that this TDCP method could be used in three-dimensional positioning of the fluorescent target in small animals. The study also suggests that the combination of a large power laser and deep cooling charge-coupled device will provide an attractive approach for fluorescent detection from deep sources. This work demonstrates the potential of binocular stereo vision theory for three-dimensional positioning for living animal in-vivo imaging.

Highlights

  • In-vivo optical sensing technique has been proved to be an attractive technique.[1,2,3] It has the capability of performing quantitative and qualitative studies on a cellular or molecular level.[4,5,6] Fluorescence is a versatile and useful tool for living animal in-vivo imaging.[7]

  • The photon absorption rate of most biological tissues is comparatively low in the near infrared (NI) spectral range (650–900 nm), and photons can be detected through living organs.[10]

  • The in-vivo fluorescence sensing system consists of a darkroom, a high-energy diode pump solid-state laser, a liquid-core fiber that can divide one beam of light to four, emission filter wheel, rotary platform module, a deep cooling high-sensitive charge-coupled device (CCD), and a computer in which 3-D positioning software runs on

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Summary

Introduction

In-vivo optical sensing technique has been proved to be an attractive technique.[1,2,3] It has the capability of performing quantitative and qualitative studies on a cellular or molecular level.[4,5,6] Fluorescence is a versatile and useful tool for living animal in-vivo imaging.[7]. Many near-infrared range (NIR) fluorescent probes have been developed (such as quantum dots) for in-vivo imaging studies.[11,12,13,14,15]

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