Publications by authors named "R Vanna"

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.
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Graphene-based materials (GBMs) are of considerable interest for biomedical applications, and the pilot study on the toxicological and immunological impact of pristine graphene (GR) and graphene oxide (GO) using swine as a close-to-human provides valuable insights. First, ex vivo experiments are conducted on swine blood cells, then GBMs are injected intraperitoneally (i.p.

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Broadband Coherent Anti-Stokes Raman Scattering (BCARS) is a valuable spectroscopic imaging tool for visualizing cellular structures and lipid distributions in biomedical applications. However, the inevitable biological changes in the samples (cells/tissues/lipids) introduce spectral variations in BCARS data and make analysis challenging. In this work, we conducted a systematic study to estimate the biological variance in BCARS data of two commonly used cell lines (HEK293 and HepG2) in biomedical research.

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Accurate, rapid and non-invasive cancer cell phenotyping is a pressing concern across the life sciences, as standard immuno-chemical imaging and omics require extended sample manipulation. Here we combine Raman micro-spectroscopy and phase tomography to achieve label-free morpho-molecular profiling of human colon cancer cells, following the adenoma, carcinoma, and metastasis disease progression, in living and unperturbed conditions. We describe how to decode and interpret quantitative chemical and co-registered morphological cell traits from Raman fingerprint spectra and refractive index tomograms.

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Article Synopsis
  • Acoustic vibrations provide key viscoelastic information that can be analyzed using inelastic Brillouin scattered light, but traditional methods struggle with turbid samples due to excess background light.
  • The introduction of a common-path Birefringence-Induced Phase Delay (BIPD) filter allows for better separation of Brillouin and Rayleigh signals, significantly reducing background noise by an extinction ratio of 65 dB.
  • This technique was successfully applied to image bone tissues in a mouse model of osteopetrosis, revealing changes in biomechanical properties and offering new insights into mechanobiology for challenging biological samples.
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