Live stimulated Raman histology for the near-instant assessment of central nervous system samples’

Diagnostic genomic profiling constitutes one of the major challenges to cure brain tumors. The deployment of such analyses depends on the quality of the surgical specimen sent for histopathological examination and further molecular studies. The aim of our study was to assess the potential added value of Stimulated Raman Histology (SRH) for the assessment of freshly excised central nervous system samples. We showed that SRH enabled a near-instant microscopic examination of various central nervous system samples without any tissue processing such as labelling, freezing nor sectioning. Following SRH imaging, we demonstrated that the samples could be readily recovered and reintroduced into a conventional pathology workflow including immunohistochemistry and genomic profiling to establish a definitive diagnosis

Noise in stimulated Raman scattering measurement: From basics to practice

International audienc

Random Illumination Wide-field Coherent Anti-Stokes Raman Scattering Microscopy

International audienc

Random Illumination Wide-field Coherent Anti-Stokes Raman Scattering Microscopy

International audienc

Beyond endoscopic assessment in inflammatory bowel disease: real-time histology of disease activity by non-linear multimodal imaging

Assessing disease activity is a prerequisite for an adequate treatment of inflammatory bowel diseases (IBD) such as Crohn’s disease and ulcerative colitis. In addition to endoscopic mucosal healing, histologic remission poses a promising end-point of IBD therapy. However, evaluating histological remission harbors the risk for complications due to the acquisition of biopsies and results in a delay of diagnosis because of tissue processing procedures. In this regard, non-linear multimodal imaging techniques might serve as an unparalleled technique that allows the real-time evaluation of microscopic IBD activity in the endoscopy unit. In this study, tissue sections were investigated using the non-linear multimodal microscopy combination of coherent anti-Stokes Raman scattering (CARS), two-photon excited auto fluorescence (TPEF) and second-harmonic generation (SHG). After the measurement a gold-standard assessment of histological indexes was carried out based on a conventional H&E stain. Subsequently, various geometry and intensity related features were extracted from the multimodal images. An optimized feature set was utilized to predict histological index levels based on a linear classifier. Based on the automated prediction, the diagnosis time interval is decreased. Therefore, non-linear multimodal imaging may provide a real-time diagnosis of IBD activity suited to assist clinical decision making within the endoscopy unit