Publication: Classification of lymphoproliferative disorders by spectral imaging of the nucleus
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Date
2002
Authors
Greenspan, H. ; Rothmann, C. ; Cycowitz, T. ; Nissan, Y. ; Cohen, A.M. ; Malik, Z.
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Publisher
Murcia : F. Hernández
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DOI
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info:eu-repo/semantics/article
Description
Abstract
Spectral nuclear morphometry was used for
the classification of lymphocytes in lymphoproliferative
disorders. May-Grunwald-Giemsa-stained blood
specimens were taken from thirty patients with
infectious mononucleosis, non-Hodgkin lymphoma or
chronic lymphocytic leukemia, and from ten healthy
individuals. Blood specimens were analyzed by spectral
imaging. Seventeen distinct spectra were collected into a
spectral library and a distinct pseudo color was assigned
to each one of them. The library was used to scan all the
cells in the database and to create a spectrally classified
image of each cell. The spectral map, per cell, reveals
distinct spectral-response regions in each cellular
compartment, via the distinct region colors.
Computational analysis of the spectral maps allows
for the objective quantification of a set of parameters, or
features, representing the cell. The features used in this
work include the area and perimeter of the nucleus,
circularity, edginess and the spectral pattern. The
analysis pursued showed that each class of cells is
associated with a set of unique parameters. We conclude
that spectral analysis combined with feature analysis
provides significant information in the analysis of
lymphoproliferative disorders and may serve as an
additional tool for the histopathological evaluation of
disease.
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