Document Detail


Noninvasive identification of subcellular organization and nuclear morphology features associated with leukemic cells using light-scattering spectroscopy.
MedLine Citation:
PMID:  21456879     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Leukemia is the most common and deadly cancer among children and one of the most prevalent cancers among adults. Improvements in its diagnosis and monitoring of leukemic patients could have a significant impact in their long-term treatment. We demonstrate that light-scattering spectroscopy (LSS)-based approaches could serve as a tool to achieve this goal. Specifically, we characterize the light scattering properties of leukemic (NALM-6) cells and compare them to those of normal lymphocytes and granulocytes in the 440-710 nm range, over ±4 deg about the exact backscattering direction. We find that the LSS spectra are well described by an inverse power-law wavelength dependence, with a power exponent insensitive to the scattering angle but significantly higher for leukemic cells than for normal leukocytes. This is consistent with differences in the subcellular morphology of these cells, detected in differential interference contrast images. Furthermore, the residual light-scattering signal, extracted after subtracting the inverse power-law fit from the data, can be analyzed assuming a Gaussian distribution of spherical scatterers using Mie theory. This analysis yields scatterer sizes that are consistent with the diameters of cell nuclei and allows the detection of the larger nuclei of NALM-6 cells compared to those of lymphocytes and granulocytes.
Authors:
Austin Hsiao; Martin Hunter; Cherry Greiner; Sharad Gupta; Irene Georgakoudi
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Journal of biomedical optics     Volume:  16     ISSN:  1560-2281     ISO Abbreviation:  J Biomed Opt     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-04-04     Completed Date:  2011-08-09     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  9605853     Medline TA:  J Biomed Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  037007     Citation Subset:  IM    
Affiliation:
Tufts University, Biomedical Engineering Department, Medford, Massachusetts 02115, USA.
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MeSH Terms
Descriptor/Qualifier:
Cell Line, Tumor
Cell Nucleus / pathology*
Cellular Structures / pathology
Fractals
Granulocytes / cytology
Humans
Light
Lymphocytes / cytology
Microscopy, Interference
Models, Biological
Optical Phenomena
Precursor Cell Lymphoblastic Leukemia-Lymphoma / diagnosis,  pathology*
Reference Values
Scattering, Radiation*
Spectrum Analysis / methods*
Grant Support
ID/Acronym/Agency:
R21CA114684/CA/NCI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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