A near-infrared (NIR) hyperspectral imaging (HSI) system has been developed to measure the hemodynamic (changes in concentration of oxyhemoglobin and deoxyhemoglobin) and the metabolic (changes in concentration of oxidised cytochrome-c-oxidase) responses in the exposed cortex of small animals. Using the extended spectral information of multiple wavelengths in the NIR range between 780 and 900 nm optimal differentiation between the optical signatures of the chromophores (hemoglobin and cytochrome-c-oxidase) can be achieved. The system, called hNIR, is composed of: (1) a high-frame rate, large-format scientific CMOS (sCMOS) camera for image acquisition and (2) a broadband source coupled with a Pellin-Broca prism mounted on a rotating motor for sequential, fast-rate illumination of the target at different spectral bands. The system characterisation highlights the capability of the setup to achieve high spatial resolution over a ~1x1 mm field of view (FOV). Hyperspectral data analysis also includes simulations using a Monte Carlo optical model of HSI, to estimate the average photon pathlength and improve image reconstruction and quantification. The hNIR system described here is an improvement over a previously tested commercial snapshot HSI solution both in terms of spatial resolution and signal-to-noise ratio (SNR). This setup will be used to monitor brain hemodynamic and metabolic changes in the exposed cortex of mice during systemic oxygenation changes.
[1]
Qianqian Fang,et al.
Mesh-based Monte Carlo method using fast ray-tracing in Plücker coordinates
,
2010,
Biomedical optics express.
[2]
Chris E. Cooper,et al.
Re-evaluation of the near infrared spectra of mitochondrial cytochrome c oxidase: Implications for non invasive in vivo monitoring of tissues
,
2014,
Biochimica et biophysica acta.
[4]
Gemma Bale,et al.
From Jöbsis to the present day: a review of clinical near-infrared spectroscopy measurements of cerebral cytochrome-c-oxidase
,
2016,
Journal of biomedical optics.
[5]
I. Tachtsidis,et al.
Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations.
,
2015,
Biomedical optics express.
[6]
S. Arridge,et al.
Estimation of optical pathlength through tissue from direct time of flight measurement
,
1988
.
[7]
Ilias Tachtsidis,et al.
Hyperspectral imaging solutions for brain tissue metabolic and hemodynamic monitoring: past, current and future developments
,
2018,
Journal of optics.