Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
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Changes of skin collagen orientation associated with chronological aging as probed by polarized-FTIR micro-imaging.Similarity maps and hierarchical clustering for annotating FT-IR spectral images.Spectral cytopathology: new aspects of data collection, manipulation and confounding effects.Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histologyExtracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.FTIR microscopy of biological cells and tissue: data analysis using resonant Mie scattering (RMieS) EMSC algorithm.Spectral detection of micro-metastases in lymph node histo-pathology.Infrared spectroscopy and microscopy in cancer research and diagnosis.Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives.Opportunities for live cell FT-infrared imaging: macromolecule identification with 2D and 3D localization.Breast cancer and melanoma cell line identification by FTIR imaging after formalin-fixation and paraffin-embedding.Cancer screening via infrared spectral cytopathology (SCP): results for the upper respiratory and digestive tracts.Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells.Infrared imaging of MDA-MB-231 breast cancer cell line phenotypes in 2D and 3D cultures.Virtual staining of colon cancer tissue by label-free Raman micro-spectroscopy.Infrared imaging in breast cancer: automated tissue component recognition and spectral characterization of breast cancer cells as well as the tumor microenvironment.Fourier transform infrared imaging analysis in discrimination studies of squamous cell carcinoma.Infrared spectral histopathology (SHP): a novel diagnostic tool for the accurate classification of lung cancer.Minimising contributions from scattering in infrared spectra by means of an integrating sphere.Immunohistochemistry, histopathology and infrared spectral histopathology of colon cancer tissue sections.FTIR microspectroscopy of selected rare diverse sub-variants of carcinoma of the urinary bladder.Resonant Mie scattering (RMieS) correction applied to FTIR images of biological tissue samples.Spectral detection of micro-metastases and individual metastatic cells in lymph node histology.Advanced statistical techniques applied to comprehensive FTIR spectra on human colonic tissues.Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks.Label-free classification of colon cancer grading using infrared spectral histopathology.Infrared imaging of primary melanomas reveals hints of regional and distant metastases.Label-free phenotyping of peripheral blood lymphocytes by infrared imaging.Bioaerosol analysis based on a label-free microarray readout method using surface-enhanced Raman scattering.Overview of the use of theory to understand infrared and Raman spectra and images of biomolecules: colorectal cancer as an exampleApplications of Infrared and Raman Microspectroscopy of Cells and Tissue in Medical Diagnostics: Present Status and Future Promises
P2860
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P2860
Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
@en
type
label
Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
@en
prefLabel
Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
@en
P2093
P2860
P356
P1476
Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
@en
P2093
Dieter Naumann
Peter Lasch
Wolfgang Hänsch
P2860
P304
P356
10.1002/CEM.993
P577
2007-03-01T00:00:00Z