2020
DOI: 10.7150/thno.43325
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Quantitative chemical imaging of breast calcifications in association with neoplastic processes

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Cited by 47 publications
(48 citation statements)
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“…Copyright 2019, Nature Publishing Group. (B) The combination of protein (C−H stretching) and phosphate image visualize the location of calcification in breast cancer, Adapted with permission [67] . Copyright 2020, Elsevier.…”
Section: Coherent Raman Scatteringmentioning
confidence: 99%
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“…Copyright 2019, Nature Publishing Group. (B) The combination of protein (C−H stretching) and phosphate image visualize the location of calcification in breast cancer, Adapted with permission [67] . Copyright 2020, Elsevier.…”
Section: Coherent Raman Scatteringmentioning
confidence: 99%
“…They combined both SHG and SRS technique to visualize the stomal collagen as well as collagen embedded on the calcification matrix. The carbonate content in calcification was quantified based on the Raman peaks corresponds to carbonate/phosphate ratio (Figure 4B) [67] …”
Section: Coherent Raman Scatteringmentioning
confidence: 99%
“…46 Shin et al, demonstrated the clinical value of hyperspectral SRS imaging for breast cancer diagnosis via provision of spatially resolved qualitative and quantitative information on tissue calcification. 47 A broadband femtosecond dual-beam laser system was used to quantify the carbonate content of hydroxyapatite, the main calcification species associated with cancer. The ratio of carbonate (∼1070 cm −1 ) to phosphate (∼960 cm −1 ) peaks mapped the intra-and inter-tissue calcification heterogeneity among breast cancer tissue samples.…”
Section: Imaging In the Fingerprint Regionmentioning
confidence: 99%
“…Numerous SRS studies were reported on intraoperative diagnosis of fresh, unprocessed surgical specimens, in particular for brain tumors [53]. Recently, a parallel workflow was presented that combined SRS for histological assessment—also called stimulated Raman histology (SRH)—and deep convolutional neural networks (CNNs) to automatically predict diagnosis at the bedside in near real time [54]. Specifically, over 2.5 million SRH images trained the CNNs that predicted brain tumor diagnosis in the operating room in less than 150 seconds.…”
Section: Spontaneous Surface Enhanced and Coherent Raman Spectroscopymentioning
confidence: 99%