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Perceptually accurate display of two greyscale images as a single colour image.
Taylor, A B; Ioannou, M S; Watanabe, T; Hahn, K; Chew, T-L.
Afiliação
  • Taylor AB; Advanced Imaging Center, Howard Hughes Medical Institute Janelia Research Campus, Ashburn, Virginia, U.S.A.
  • Ioannou MS; Advanced Imaging Center, Howard Hughes Medical Institute Janelia Research Campus, Ashburn, Virginia, U.S.A.
  • Watanabe T; Department of Pharmacology, UNC-Chapel Hill School of Medicine, Chapel Hill, North Carolina, U.S.A.
  • Hahn K; Department of Pharmacology, UNC-Chapel Hill School of Medicine, Chapel Hill, North Carolina, U.S.A.
  • Chew TL; Advanced Imaging Center, Howard Hughes Medical Institute Janelia Research Campus, Ashburn, Virginia, U.S.A.
J Microsc ; 268(1): 73-83, 2017 10.
Article em En | MEDLINE | ID: mdl-28556922
Life scientists often desire to display the signal from two different molecular probes as a single colour image, so as to convey information about the probes' relative concentrations as well as their spatial corelationship. Traditionally, such colour images are created through a merge display, where each greyscale signal is assigned to different channels of an RGB colour image. However, human perception of colour and greyscale intensity is not equivalent. Thus, a merged image display conveys to the typical viewer only a subset of the absolute and relative intensity information present in and between two greyscale images. The Commission Internationale de l'Eclairage L*a*b* colour space (CIELAB) has been designed to specify colours according to the perceptually defined quantities of hue (perceived colour) and luminosity (perceived brightness). Here, we use the CIELAB colour space to encode two dimensions of information about two greyscale images within these two perceptual dimensions of a single colour image. We term our method a Perceptually Uniform Projection display and show using biological image examples how these displays convey more information about two greyscale signals than comparable RGB colour space-based techniques.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Técnicas Citológicas / Microscopia Confocal / Microscopia de Fluorescência Idioma: En Revista: J Microsc Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Técnicas Citológicas / Microscopia Confocal / Microscopia de Fluorescência Idioma: En Revista: J Microsc Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos