Prostate cancer histopathology using label-free multispectral deep-UV microscopy quantifies phenotypes of tumor aggressiveness and enables multiple diagnostic …

S Soltani, A Ojaghi, H Qiao, N Kaza, X Li, Q Dai… - Scientific Reports, 2022 - nature.com
Identifying prostate cancer patients that are harboring aggressive forms of prostate cancer
remains a significant clinical challenge. Here we develop an approach based on
multispectral deep-ultraviolet (UV) microscopy that provides novel quantitative insight into
the aggressiveness and grade of this disease, thus providing a new tool to help address this
important challenge. We find that UV spectral signatures from endogenous molecules give
rise to a phenotypical continuum that provides unique structural insight (ie, molecular maps …

Prostate cancer histopathology with label-free multispectral deep UV microscopy quantifies phenotypes of tumor grade and aggressiveness

S Soltani, A Ojaghi, H Qiao, N Kaza, X Li, Q Dai… - arXiv preprint arXiv …, 2021 - arxiv.org
Identifying prostate cancer patients that are harboring aggressive forms of prostate cancer
remains a significant clinical challenge. To shed light on this problem, we develop an
approach based on multispectral deep-ultraviolet (UV) microscopy that provides novel
quantitative insight into the aggressiveness and grade of this disease. First, we find that UV
spectral signatures from endogenous molecules give rise to a phenotypical continuum that
differentiates critical structures of thin tissue sections with subcellular spatial resolution …
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