Publication: Spectral imaging for quantitative histology and cytogenetics
Authors
Rothmann, C. ; Bar-Am, I.
item.page.secondaryauthor
item.page.director
Publisher
Murcia : F. Hernández
publication.page.editor
publication.page.department
DOI
item.page.type
info:eu-repo/semantics/article
Description
Abstract
Evaluation of cell morphology by bright field
microscopy is the pillar of histopathological diagnosis.
The need for quantitative and objective parameters for
diagnosis gave rise to the development of morphometric
methods. Morphometry combined with spectral imaging
provides multi-pixel information from a specimen,
which can be used for further image processing and
quantitative analysis. The spectroscopic analysis is based
on the ability of a stained histological specimen to
absorb, reflect, or emit photons in ways characteristic to
its interactions with specific dyes. Spectral information
obtained from a histological specimen is stored in a cube
whose appellate signifies the two spatial dimensions of a
flat sample (X and y) and the third dimension, the
spectrum, representing the light intensity for every
wavelength. By mathematical analysis of the cube database,
it is possible to perform the function of spectralsimilarity
mapping (SSM) which enables the
demarcation of areas occupied by the same type of
material. Spectral similarity mapping constructs
new images of the specimen, revealing areas with
similar stain-macromolecule characteristics and
enhancing subcellular features. Spectral imaging
combined with SSM reveals nuclear organization and
identifies specifically the nucleoli domains. Therefore,
differentiation stages as well as apoptotic and necrotic
conditions are easily quantified. The commercial
spectracubeTM system was developed for the application of spectral imaging in biology, recordin
both transmitted light and fluorescence. The SKY^ rfi
technique utilizes the advantages of the spectracubeTM
for multi probe FISH and chromosome karyotyping,
identifying marker chromosomes, detecting subtle
chromosome translocations and clarifying complex
karyotypes.
publication.page.subject
Citation
item.page.embargo
Ir a Estadísticas
Sin licencia Creative Commons.