Intra-operative stimulated Raman histology (SRH) is a novel technology which uses laser spectroscopy and color-matching algorithms to create images similar to formalin-fixed paraffin-embedded (FFPE) section. We aim to assess the accuracy of SRH in a novel range of sinonasal and skull base tumors.

Here, we target unexplored skull base tumors using a fast simultaneous two-channel stimulated Raman scattering (SRS) imaging technique and a new pseudo-hematoxylin and eosin (H&E) recoloring methodology.

We used a fiber laser–based, label-free, nonconsumptive, high-resolution microscopy method (<60 seconds per 1 × 1 mm 2), called stimulated Raman histology (SRH), to image a consecutive, multicenter cohort of patients with skull base tumor.

Method: We used a fiber laser–based, label-free, nonconsumptive, high-resolution microscopy method (&lt; 60 sec per 1 × 1 mm2), called stimulated Raman histology (SRH), to image a consecutive, multicenter cohort of skull base tumor patients.

The stimulated Raman histology (SRH) is a novel technology which uses laser spectroscopy to create rapid, intraoperative images similar in appearance to hematoxylin and eosin (H&E) sectioning slide images. Initial reports have described …

Nov 15, 2022 · How accurate is intraoperative stimulated Raman histology (SRH) technology in producing images in a novel range of sinonasal and skull base tumors compared to formalin-fixed paraffin-embedded (FFPE) and hematoxylin and eosin (H&E)?

Dec 31, 2019 · Here, we target unexplored skull base tumors using a fast simultaneous two-channel stimulated Raman scattering (SRS) imaging technique and a new pseudo-hematoxylin and eosin (H&E) recoloring...

Dec 31, 2019 · Here, we target unexplored skull base tumors using a fast simultaneous two-channel stimulated Raman scattering (SRS) imaging technique and a new pseudo-hematoxylin and eosin (H&E) recoloring methodology.

We propose an innovative diagnosis system that uses a rapid (2–3 minutes, >10× speedup), label-free optical histology method, called stimulated Raman histology (SRH), combined with deep learning-based interpretation of fresh, unprocessed surgical specimens.

Mar 30, 2022 · SRH with trained artificial intelligence models can provide rapid and accurate intraoperative analysis of skull base tumor specimens to inform surgical decision-making.