1986
DOI: 10.1002/cyto.990070604
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Spectral bandwidth in automated leukocyte classification

Abstract: Investigators have repeatedly pointed out the importance of spectral information in the automated classification of white blood cells. In general, monochromatic images recorded through two or three color filters are used to extract this information. Although it has generally been thought that the use of narrow band filters provides "cleaner" color information than is obtainable through wide band filters, the choice has not been fully investigated and the question is far from being settled. The use of wide band… Show more

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Cited by 4 publications
(2 citation statements)
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“…By using quadrature filters, it is possible to simultaneously evaluate the dynamic impedance in a broad range of frequencies as a function of the time domain. In contrast to that, in classic electrochemical impedance spectroscopy (EIS), different frequencies perturb the system successively, rendering this tool unsuited for time evolving electrochemical systems.…”
Section: Introductionmentioning
confidence: 99%
“…By using quadrature filters, it is possible to simultaneously evaluate the dynamic impedance in a broad range of frequencies as a function of the time domain. In contrast to that, in classic electrochemical impedance spectroscopy (EIS), different frequencies perturb the system successively, rendering this tool unsuited for time evolving electrochemical systems.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies demonstrated new imaging technologies that provide both spatial and spectral information to support cell identification and can also potentially be integrated into on-chip blood analysis systems. Examples include hyperspectral imaging [ [5] , [6] , [7] , [8] , [9] ], multispectral imaging [ 10 ] or Raman spectroscopic imaging [ 11 ]. However, these studies were limited to the examination of blood smear samples, the preparation of which has been shown to yield different cell morphologies when compared to cells in suspension [ 12 ].…”
Section: Introductionmentioning
confidence: 99%