scholarly journals Raman spectral signatures of mouse mammary tissue and associated lymph nodes: normal, tumor and mastitis

2007 ◽  
Vol 38 (2) ◽  
pp. 127-134 ◽  
Author(s):  
Jagdish S. Thakur ◽  
Houbei Dai ◽  
Gulay K. Serhatkulu ◽  
Ratna Naik ◽  
Vaman M. Naik ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Mammary Tissue ◽  
Spectral Signatures ◽  
Raman Spectral

scholarly journals Raman spectral signatures of cervical exfoliated cells from liquid-based cytology samples

2017 ◽  
Vol 22 (10) ◽  
pp. 1 ◽  
Author(s):  
Padraig Kearney ◽  
Damien Traynor ◽  
Franck Bonnier ◽  
Fiona M. Lyng ◽  
John J. O’Leary ◽  
...  
Keyword(s):  
Spectral Signatures ◽  
Exfoliated Cells ◽  
Liquid Based Cytology ◽  
Raman Spectral

Separation of the Raman Spectral Signatures of Bioapatite and Collagen in Compact Mouse Bone Bleached with Hydrogen Peroxide

2002 ◽  
Vol 56 (6) ◽  
pp. 770-775 ◽  
Author(s):  
John J. Freeman ◽  
Matthew J. Silva
Keyword(s):  
Hydrogen Peroxide ◽  
Raman Spectrum ◽  
Raman Spectra ◽  
Compact Bone ◽  
Spectral Signature ◽  
Spectral Signatures ◽  
Peroxide Bleaching ◽  
Before And After ◽  
Fresh Frozen ◽  
Raman Spectral

We studied the effectiveness of hydrogen peroxide in removing visible laser-induced photoluminescence from the Raman spectra of compact bone of mice. In testing various bone sample preparations, we found that hydrogen peroxide bleaching was most effective when applied directly to fresh or fresh-frozen bone samples. The extent of the reduction in photoluminescence in the peroxide-bleached bone was such that the Raman spectrum could be readily recorded with 532-nm laser excitation. A comparison of bone samples before and after hydrogen peroxide bleaching shows that the Raman shifts of all the collagen and bioapatite bands are unaffected by the peroxide bleach. Moreover, the low spectral backgrounds of the peroxide-treated bone samples permit the Raman spectra of these two major components of bone to be fully separated. The Raman spectrum of collagen-rich periosteum was subtracted from the Raman spectrum of compact bone, which isolated the Raman spectral signature of the bioapatite fraction of the bone. This derived spectrum of bioapatite was then used, through spectral subtraction, to generate the spectral signature of the collagen component of the bone. All the major and minor Raman bands of collagen and bioapatite can be identified in these separate spectra.

scholarly journals Biomarkers and their Raman spectroscopic signatures: a spectral challenge for analytical astrobiology

2014 ◽  
Vol 372 (2030) ◽  
pp. 20140193 ◽  
Author(s):  
Howell G. M. Edwards ◽  
Ian B. Hutchinson ◽  
Richard Ingley ◽  
Jan Jehlička
Keyword(s):  
Chemical Compounds ◽  
Raman Spectroscopic ◽  
Spectral Signatures ◽  
Robotic Exploration ◽  
Mineral Matrix ◽  
Spectral Recognition ◽  
Definition Of ◽  
Major Factors ◽  
Spectroscopic Signatures ◽  
Raman Spectral

The remote robotic exploration of extraterrestrial scenarios for evidence of biological colonization in ‘search for life’ missions using Raman spectroscopy is critically dependent on two major factors: firstly, the Raman spectral recognition of characteristic biochemical spectral signatures in the presence of mineral matrix features; and secondly, the positive unambiguous identification of molecular biomaterials which are indicative of extinct or extant life. Both of these factors are considered here: the most important criterion is the clear definition of which biochemicals truly represent biomarkers, whose presence in the planetary geological record from an analytical astrobiological standpoint will unambiguously be indicative of life as recognized from its remote instrumental interrogation. Also discussed in this paper are chemical compounds which are associated with living systems, including biominerals, which may not in themselves be definitive signatures of life processes and origins but whose presence provides an indicator of potential life-bearing matrices.

scholarly journals Unlabeled salivary gland organoids have distinct Raman signatures following FGF2-induced proacinar cell differentiation

2021 ◽  
Author(s):  
Kate E Tubbesing ◽  
Nicholas Moskwa ◽  
Ting Chean Khoo ◽  
Deirdre A Nelson ◽  
Anna Sharikova ◽  
...  
Keyword(s):  
Salivary Gland ◽  
Basement Membrane ◽  
Disease Modeling ◽  
Three Dimensional ◽  
Spectral Signatures ◽  
Self Organized ◽  
The Matrix ◽  
And Function ◽  
Raman Spectral ◽  
Non Destructive

Organoids are self-organized three-dimensional (3D) tissue cultures that model the structure and function of organs to provide insights into signaling during organ formation and have translational applications in disease modeling and assessing drug responses. Due to their heterogeneity, there is a need for non-destructive methods to identify the differentiation state, or the phenotype, of organoids. As organoids often contain complex mixtures of basement membrane and/or extracellular matrix proteins, which are often highly auto-fluorescent, it typically makes low-resolution Raman measurements a challenge. We developed Raman confocal micro-spectroscopy methods to avoid and minimize the matrix signal and define specific Raman signatures for growth factor-differentiated and non-differentiated organoids. In complex, branched salivary gland organoids derived from mouse embryonic epithelial and stromal cells embedded within the laminin-rich basement membrane matrix, Matrigel, we identified specific Raman spectral signatures for organoids in different differentiation states. We report that either comparison of spectral signatures or multivariate SVD analysis can be used to distinguish between organoids treated with FGF2, organoids treated with EGF, and non-treated controls. Raman spectral signatures can be used to non-invasively distinguish between different phenotypes in the 3D context of unlabeled organoids.

Raman Spectral Mapping in the Assessment of Axillary Lymph Nodes in Breast Cancer

2003 ◽  
Vol 2 (4) ◽  
pp. 327-331 ◽  
Author(s):  
J. Smith ◽  
C. Kendall ◽  
A. Sammon ◽  
J. Christie-Brown ◽  
N. Stone
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Biological Tissues ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients ◽  
Spectral Mapping ◽  
Raman Spectral

This paper is the first reported description of Raman Spectroscopy in the assessment of axillary lymph nodes in breast cancer patients. Raman Spectroscopy is an inelastic scattering spectroscopic technique appropriate for the assessment of unprocessed complex biological tissues. Spectra represent biochemical signatures of the tissue under scrutiny. The described method of Raman spectral mapping produces false-color spectral images of lymph node sections. These can be compared with standard histopathology slides and white light images of nodal tissue. This method has the potential to allow the detailed biochemical assessment of heterogeneous lymph node features, and to contribute towards the development of an optical diagnostic tool for use in a clinical setting.

scholarly journals Correlating Raman Spectral Signatures with Carrier Mobility in Epitaxial Graphene: A Guide to Achieving High Mobility on the Wafer Scale

Nano Letters ◽  
2009 ◽  
Vol 9 (8) ◽  
pp. 2873-2876 ◽  
Author(s):  
Joshua A. Robinson ◽  
Maxwell Wetherington ◽  
Joseph L. Tedesco ◽  
Paul M. Campbell ◽  
Xiaojun Weng ◽  
...  
Keyword(s):  
Carrier Mobility ◽  
High Mobility ◽  
Epitaxial Graphene ◽  
Wafer Scale ◽  
Spectral Signatures ◽  
Raman Spectral
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