Quantitative cell nuclear imaging by dual-view optical-resolution photoacoustic microscopy

Terence T. W. Wong; De Cai; Liren Zhu; Junhui Shi; Sung-Liang Chen; Lihong V. Wang

doi:10.1117/12.2509219

27 February 2019 Quantitative cell nuclear imaging by dual-view optical-resolution photoacoustic microscopy

Terence T. W. Wong, De Cai, Liren Zhu, Junhui Shi, Sung-Liang Chen, Lihong V. Wang

Proceedings Volume 10878, Photons Plus Ultrasound: Imaging and Sensing 2019; 108780R (2019) https://doi.org/10.1117/12.2509219
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

An estimated ~250,000 new cases of both invasive and non-invasive breast cancer were diagnosed in US women almost every year. To reduce the local recurrence rate, the breast conserving surgery (BCS) is widely used as the initial therapy, which is to excise the tumor with a rim of normal surrounding tissue such that no cancer cells remain at the cut margin, Patients with positive margin commonly require a second surgical procedure to obtain clear margins. To this end, optical-resolution photoacoustic microscopy (OR-PAM) with ultraviolet (UV) laser illumination (OR-UV-PAM) has been developed for providing label-free, high-resolution, and histology like imaging of fixed, unprocessed breast tissue. To further improve the performance of OR-UV-PAM, here, we introduce dual-view UV-PAM (DV-UV-PAM) to significantly improve the axial resolution, achieving three-dimensional (3D) resolution isotropy. We first use 0.5 μm polystyrene beads and carbon fibers to validate the resolution isotropy improvement. Imaging of mouse brain slices further demonstrates the improved resolution isotropy, revealing the 3D structure of cell nuclei in detail, which facilitates quantitative cell nuclear analysis.

Citation Download Citation

Terence T. W. Wong, De Cai, Liren Zhu, Junhui Shi, Sung-Liang Chen, and Lihong V. Wang "Quantitative cell nuclear imaging by dual-view optical-resolution photoacoustic microscopy", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108780R (27 February 2019); https://doi.org/10.1117/12.2509219

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KEYWORDS

Brain

Image resolution

Neuroimaging

Photoacoustic microscopy

Ultraviolet radiation

Tissue optics

Ultrasonics

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