Colour Deconvolution (CD) is a commonly used tool in histological medical image analysis that separates histochemical or immunohistochemical stains into their component parts. Traditional CD uses matrix inversion to change the Red, Green and Blue (RGB) channels of an image into a new domain that is representative of reference colours but this limits the total number of stains that can be separated. This is problematic for histological staining protocols that use more than three stains, such as FAST staining. This limitation has restricted the use of multicolour staining in light microscopy. To address this issue, this paper evaluates the use of Non Negative Matrix Factorisation (NNMF) and Non Negative Least Squares (NNLS) to enable the deco...
<div><p>Background</p><p>Accurate evaluation of immunostained histological images is required for re...
Stain normalization is an image pre-processing method extensively used to standardize multiple varia...
As computing technology and image analysis techniques have advanced, the practice of histology has g...
Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image pr...
none3siMOTIVATION: Microscopy images of stained cells and tissues play a central role in most biomed...
Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image pr...
<div><p>Stain colour estimation is a prominent factor of the analysis pipeline in most of histology ...
MOTIVATION: Microscopy images of stained cells and tissues play a central role in most biomedical ex...
MOTIVATION: Microscopy images of stained cells and tissues play a central role in most biomedical ex...
Colour consistency in light microscopy based histology is an increasingly important problem with the...
Automated image analysis of multiplexed brightfield immunohistochemistry assays is a challenging obj...
HisTOOLogy is an open-source software for the quantification of digital colour images of histologica...
HisTOOLogy is an open-source software for the quantification of digital colour images of histologica...
Colour deconvolution is a method used in diagnostic brightfield microscopy to transform colour image...
Colour deconvolution is a method used in diagnostic brightfield microscopy to transform colour image...
<div><p>Background</p><p>Accurate evaluation of immunostained histological images is required for re...
Stain normalization is an image pre-processing method extensively used to standardize multiple varia...
As computing technology and image analysis techniques have advanced, the practice of histology has g...
Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image pr...
none3siMOTIVATION: Microscopy images of stained cells and tissues play a central role in most biomed...
Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image pr...
<div><p>Stain colour estimation is a prominent factor of the analysis pipeline in most of histology ...
MOTIVATION: Microscopy images of stained cells and tissues play a central role in most biomedical ex...
MOTIVATION: Microscopy images of stained cells and tissues play a central role in most biomedical ex...
Colour consistency in light microscopy based histology is an increasingly important problem with the...
Automated image analysis of multiplexed brightfield immunohistochemistry assays is a challenging obj...
HisTOOLogy is an open-source software for the quantification of digital colour images of histologica...
HisTOOLogy is an open-source software for the quantification of digital colour images of histologica...
Colour deconvolution is a method used in diagnostic brightfield microscopy to transform colour image...
Colour deconvolution is a method used in diagnostic brightfield microscopy to transform colour image...
<div><p>Background</p><p>Accurate evaluation of immunostained histological images is required for re...
Stain normalization is an image pre-processing method extensively used to standardize multiple varia...
As computing technology and image analysis techniques have advanced, the practice of histology has g...