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    • 41. 发明授权
    • Automated method for image analysis of residual protein
    • 残留蛋白图像分析自动化方法
    • US07660449B2
    • 2010-02-09
    • US12102665
    • 2008-04-14
    • Presley HaysMichal L. PeriDouglas Harrington
    • Presley HaysMichal L. PeriDouglas Harrington
    • G06K9/00
    • G01N1/312G01N15/1468G01N15/1475G01N2015/1472G01N2015/1488G01N2015/1497G02B21/244G02B21/367G06K9/00127G06K9/00134G06T7/60
    • A method for measuring residual protein in a cellular specimen including obtaining a low magnification image of a candidate object of interest, filtering the candidate object of interest pixels with a low pass filter, morphologically processing the candidate object of interest pixels to identify artifact pixels, identifying the candidate object of interest by eliminating artifact pixels, acquiring a higher magnification image of the subsample for the candidate object of interest, transforming pixels of the higher magnification image in a first color space to a second color space to differentiate higher magnification candidate object of interest pixels from background pixels, identifying an object of interest from the candidate object of interest pixels in the second color space, and determining the optical density of the protein in a cell contained in a subsample, wherein the optical density is indicative of the residual component of a cellular protein.
    • 一种用于测量细胞样本中残留蛋白质的方法,包括获得感兴趣的候选对象的低倍率图像,利用低通滤波器过滤候选对象像素,在形态上处理候选对象像素以识别伪像,识别 通过消除伪影像素来获取所述候选对象,获取用于所述候选对象的子样本的较高放大图像,将第一颜色空间中的较高倍率图像的像素变换为第二颜色空间,以区分感兴趣的较高倍率候选对象 从背景像素的像素,从第二颜色空间中的候选对象像素识别感兴趣的对象,以及确定子样本中包含的细胞中的蛋白质的光密度,其中光密度指示残留分量 细胞蛋白。
    • 47. 发明授权
    • Method and apparatus for automated image analysis of biological specimens
    • 生物标本自动图像分析的方法和装置
    • US07359548B2
    • 2008-04-15
    • US11594374
    • 2006-11-07
    • James W. DouglassThomas J. RidingJames E. Ring
    • James W. DouglassThomas J. RidingJames E. Ring
    • G06K9/00G09G5/02H04N9/73
    • G01N1/312G01N15/1468G01N15/1475G01N2015/1472G01N2015/1488G01N2015/1497G02B21/244G02B21/367G06K9/00127G06K9/00134G06T7/60
    • A method and apparatus for automated cell analysis of biological specimens automatically scans at a low magnification to acquire images which are analyzed to determine candidate cell objects of interest. The low magnification images are converted from a first color space to a second color space. The color space converted image is then low pass filtered and compared to a threshold to remove artifacts and background objects from the candidate object of interest pixels of the color converted image. The candidate object of interest pixels are morphologically processed to group candidate object of interest pixels together into groups which are compared to blob parameters to identify candidate objects of interest which correspond to cells or other structures relevant to medical diagnosis of the biological specimen. The location coordinates of the objects of interest are stored and additional images of the candidate cell objects are acquired at high magnification. The high magnification images are analyzed in the same manner as the low magnification images to confirm the candidate objects of interest which are objects of interest. A high magnification image of each confirmed object of interest is stored for later review and evaluation by a pathologist.
    • 用于生物标本的自动细胞分析的方法和装置以低倍率自动扫描以获取被分析以确定感兴趣的候选细胞对象的图像。 低倍率图像从第一颜色空间转换为第二颜色空间。 然后将色彩空间转换的图像进行低通滤波,并将其与阈值进行比较,以从彩色转换图像的候选对象像素中去除伪影和背景对象。 候选对象像素被形态地处理以将候选对象对象像素组合成为与斑点参数进行比较的组,以识别对应于与生物样本的医学诊断相关的细胞或其他结构的候选对象。 存储感兴趣对象的位置坐标,并以高倍率获取候选单元对象的附加图像。 以与低倍率图像相同的方式分析高倍率图像,以确认作为感兴趣对象的感兴趣的候选对象。 存储每个确认的感兴趣对象的高放大图像以供病理学家进行后续检查和评估。