Photoacoustic computed microscopy
نویسندگان
چکیده
Photoacoustic microscopy (PAM) is emerging as a powerful technique for imaging microvasculature at depths beyond the ~1 mm depth limit associated with confocal microscopy, two-photon microscopy and optical coherence tomography. PAM, however, is currently qualitative in nature and cannot quantitatively measure important functional parameters including oxyhemoglobin (HbO2), deoxyhemoglobin (HbR), oxygen saturation (sO2), blood flow (BF) and rate of oxygen metabolism (MRO2). Here we describe a new photoacoustic microscopic method, termed photoacoustic computed microscopy (PACM) that combines current PAM technique with a model-based inverse reconstruction algorithm. We evaluate the PACM approach using tissue-mimicking phantoms and demonstrate its in vivo imaging ability of quantifying HbO2, HbR, sO2, cerebral BF and cerebral MRO2 at the small vessel level in a rodent model. This new technique provides a unique tool for neuroscience research and for visualizing microvasculature dynamics involved in tumor angiogenesis and in inflammatory joint diseases.
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PACM: Photoacoustic Computed Microscopy
Photoacoustic Computed Microscopy (PACM) is a new label-free microscopic method that combines current photoacoustic microscopy technique with a modelbased inverse reconstruction algorithm to provide functional images of microvasculature. This article demonstrates its in vivo imaging ability of quantifying important functional parameters at the small vessel level in a rodent model. This new tech...
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