Benjamin R. Ecclestonehttps://orcid.org/0000-0003-1726-8161,1 Saad Rasheed Abbasi,1 Yan Yan Tran,1 Amanda Hope,1 Deepak Dinakaran,2 Muba Taher,2 Kevan L. Bell,1 John R. Mackey,2 Parsin Haji Reza1
1Univ. of Waterloo (Canada) 2Univ. of Alberta (Canada)
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Histopathology remains the gold standard for assessing tissue microanatomy. Presently, specimens are examined with bright-field microscopes that require thin stained sections of tissue specimens. However, this requires extensive tissue processing and long turnaround times. Frozen sectioning is commonly used during surgery to assess margin status. However, this method can be unreliable as the slides can be difficult to interpret. Employing photoacoustic remote sensing (PARS), we emulate H and E micrographs by visualizing nuclear and cytoplasm contrast directly. These contrasts are visualized in a variety of human tissue samples and fresh thick unprocessed tissue specimens.
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Benjamin R. Ecclestone, Saad Rasheed Abbasi, Yan Yan Tran, Amanda Hope, Deepak Dinakaran, Muba Taher, Kevan L. Bell, John R. Mackey, Parsin Haji Reza, "Reflection-mode virtual histology using photoacoustic remote sensing microscopy," Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116422Y (5 March 2021); https://doi.org/10.1117/12.2577908