Publications by authors named "H Rigneault"
We present a comprehensive strategy and its practical implementation using the commercial ScanImage software platform to perform hyperspectral point scanning microscopy when a fast time-dependent signal varies at each pixel level. In the proposed acquisition scheme, the scan along the X-axis is slowed down while the data acquisition is maintained at a high pace to enable the rapid acquisition of the time-dependent signal at each pixel level. The ScanImage generated raw 2D images have a very asymmetric aspect ratio between X and Y, the X axis encoding both for space and time acquisition.
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- * The group organizes MiFoBio conferences that feature lectures and hands-on workshops, allowing specialists to share insights and reflect on the evolution of microscopy over the years.
- * The 2023 conference included retrospective talks on key topics like multicellular imaging and advancements in imaging technologies, with summaries available on the ImaBio YouTube channel for further learning.
Article Synopsis
- Broadband Coherent anti-Stokes Raman (BCARS) microscopy is a fast imaging technique that captures full Raman spectra of biological samples, but the results can be distorted by a non-resonant background (NRB) signal.
- Traditionally, NRB was removed with complex numerical algorithms, but recent advancements in deep learning have made it possible to automate and speed up this process.
- The paper reviews existing deep-learning models for NRB removal and introduces two new architectures, finding that CNN + GRU and VECTOR networks offer the best accuracy, while GAN excels in identifying true positive peaks and is suitable for real-time processing.
We demonstrate low-frequency interferometric impulsive stimulated Raman scattering (ISRS) imaging with high robustness to distortions by optical scattering. ISRS is a pump-probe coherent Raman spectroscopy that can capture Raman vibrational spectra. Recording of ISRS spectra requires isolation of a probe pulse from the pump pulse.
View Article and Find Full Text PDFPatient-derived tumor organoids have emerged as a crucial tool for assessing the efficacy of chemotherapy and conducting preclinical drug screenings. However, the conventional histological investigation of these organoids necessitates their devitalization through fixation and slicing, limiting their utility to a single-time analysis. Here, we use stimulated Raman histology (SRH) to demonstrate non-destructive, label-free virtual staining of 3D organoids, while preserving their viability and growth.
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