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    • 2. 发明授权
    • Method for classification of pixels into groups according to their
spectra using a plurality of wide band filters and hardwire therefore
    • 因此,使用多个宽带滤波器和硬件根据其频谱将像素分类为组的方法
    • US5834203A
    • 1998-11-10
    • US917213
    • 1997-08-25
    • Nir KatzirDavid WineYuval GariniDario Cabib
    • Nir KatzirDavid WineYuval GariniDario Cabib
    • G01N21/64G01N15/14G01N21/78G01N33/533G01N33/566G01N33/58G02B21/06C12Q1/68F21V9/08G02B21/16
    • G01N21/6428G01N21/6458G02B21/06G01N15/1475G01N2021/6441
    • A method of classification of pixels into groups of pixels according to their association with a single fluorophore or a combination of fluorophores selected from a plurality of fluorophores, each of the fluorophores having characterizing excitation and emission spectra and specifying excitation and emission peaks, the method comprising the steps of (a) providing a plurality of pairs of wide-band excitation filters and wide-band emission filters; (b) exciting fluorophores of each of the pixels with light filtered through one of the wide-band excitation filters, and recording emitted light intensity as retrieved after passing through its paired emission filter; (c) repeating step (b) for all of the plurality of pairs of filters, such that each of the pixels is representable by a vector of a plurality of dimensions, the number of dimensions being equal to the number of the plurality of pairs of filters; (c) using an algorithm for evaluating the presence of each of the plurality of fluorophores in each of the pixels, thereby classifying each of the pixels into a group of pixels according to its association with a single fluorophore or combination of fluorophores.
    • 根据其与单个荧光团或选自多个荧光团的荧光团的组合的关联或每个荧光团具有表征激发和发射光谱以及指定激发和发射峰值的方式,将像素分类为像素组的方法,所述方法包括: (a)提供多对宽带激励滤波器和宽带发射滤波器的步骤; (b)每个像素的激发荧光团,其中通过一个宽带激发滤光器之一滤光,并且记录经过其成对发射滤光片之后检索的发射光强度; (c)对于所有多对滤波器重复步骤(b),使得每个像素可以由多个维度的向量表示,维数等于多对滤波器的数量 过滤器 (c)使用用于评估每个像素中的每个多个荧光团的存在的算法,从而根据其与单个荧光团或荧光团的组合的关联将每个像素分类为一组像素。
    • 5. 发明授权
    • Method for chromosomes classification
    • 染色体分类方法
    • US5906919A
    • 1999-05-25
    • US962845
    • 1997-11-03
    • Yuval GariniNir KatzirDavid WineDario Cabib
    • Yuval GariniNir KatzirDavid WineDario Cabib
    • G01N33/48C12M1/00C12M3/00C12N15/09C12N15/11C12Q1/68G01J3/02G01J3/12G01J3/26G01J3/28G01J3/44G01J3/453G01N1/28G01N21/64G01N21/75G01N33/483G01N33/50G01N33/52G01N33/569G01N33/58G01N37/00G02B21/00G02B21/16G06K9/00G06K9/76
    • G01J3/12C12Q1/6816G01J3/1256G01J3/26G01J3/2823G01J3/4406G01J3/453G01N21/6428G01N21/6456G01N33/5005G01N33/56966G01N33/582G06K9/00127G06K9/0014G06K9/76G01J2003/2866G01J3/02G01N2021/6423G01N2021/6441
    • A method for finding L internal reference vectors for classification of L chromosomes or portions of chromosomes of a cell, the L chromosomes or portions of chromosomes being painted with K different fluorophores or combinations thereof, wherein K basic chromosomes or portions of chromosomes of the L chromosomes or portions of chromosomes are each painted with only one of the K different fluorophores, whereas the other L-K of the L chromosomes or portions of chromosomes are each painted with a different combination of the K different fluorophores, the method comprising the steps of (a) using a multi-band collection device for measuring a first vector for each pixel of each of the L chromosomes or portions of chromosomes; (b) identifying pixels belonging to each of the K basic chromosomes or portions of chromosomes and defining the pixels as basic pixels, so as to obtain K basic classes of basic pixels; (c) using at least one basic pixel from each of the K basic classes for obtaining K basic vectors, the K basic vectors being K internal reference vectors; (d) using the K basic vectors for identifying pixels belonging to the other L-K chromosomes or portions of chromosomes; and (e) using the pixels belonging to the other L-K chromosomes or portions of chromosomes for calculating the other L-K internal reference vectors, thereby finding all of the L internal reference vectors. A method for classification of L chromosomes or portions of chromosomes of a cell similarly painted using the above method for finding L internal reference vectors, and using the L reference vectors for classification of each of the pixels into one of L classification classes. And, images presenting color chromosomes.
    • 一种用于分析L染色体或细胞染色体部分的L个内部参照载体的方法,L染色体或染色体部分用K个不同的荧光团或其组合进行染色,其中K个基本染色体或L个染色体的染色体部分 或染色体的部分各自仅涂覆有K个不同荧光团中的一个,而L个染色体的其他LK或染色体部分各自用不同的K个不同荧光团的组合进行涂布,该方法包括以下步骤:(a) 使用多频带收集装置测量每个L染色体或染色体部分的每个像素的第一个载体; (b)识别属于K个基本染色体或染色体部分的像素,并将该像素定义为基本像素,以获得基本像素的K个基本类别; (c)使用来自K个基本类别的至少一个基本像素来获得K个基本向量,所述K个基本向量是K个内部参考向量; (d)使用K个基本载体来识别属于其他L-K染色体或染色体部分的像素; 和(e)使用属于其他L-K染色体或染色体部分的像素来计算其他L-K内部参考矢量,从而找到所有L个内部参考矢量。 使用上述用于寻找L个内部参考向量的方法,并且使用L个参考向量将每个像素分类为L个分类等级之一来分类L染色体或染色体部分的方法。 而且,呈现彩色染色体的图像。
    • 6. 发明授权
    • Spectral bio-imaging methods for biological research, medical
diagnostics and therapy
    • 用于生物研究,医学诊断和治疗的光谱生物成像方法
    • US5784162A
    • 1998-07-21
    • US571047
    • 1995-12-12
    • Dario CabibRobert A. BuckwaldZvi MalikYuval GariniNir KatzirDirk G. Soeknsen
    • Dario CabibRobert A. BuckwaldZvi MalikYuval GariniNir KatzirDirk G. Soeknsen
    • G01B11/00A61B3/00A61B3/12A61B5/00A61B10/00C12Q1/68G01J3/02G01J3/12G01J3/26G01J3/28G01J3/44G01J3/443G01J3/45G01J3/453G01N21/27G01N21/64G01N33/48G01N33/483G01N33/50G01N33/569G01N33/58G02B21/36G06K9/00G06K9/76G01B9/02
    • G01N21/6458C12Q1/6841C12Q1/6883G01J3/12G01J3/1256G01J3/26G01J3/2823G01J3/4406G01J3/453G01N21/6428G01N21/6486G01N33/5005G01N33/56966G01N33/582G06K9/00127G06K9/76G01J2003/2866G01J3/02G01N2021/6417G01N2021/6423
    • According to the present invention there are provided spectral imaging methods for biological research, medical diagnostics and therapy comprising the steps of (a) preparing a sample to be spectrally imaged; (b) viewing the sample through an optical device, the optical device being optically connected to an imaging spectrometer, the optical device and the imaging spectrometer obtaining a spectrum of each pixel of the sample by: (i) collecting incident light simultaneously from all pixels of the sample using collimating optics; (ii) passing the incident collimated light through an interferometer system having a number of elements, to form an exiting light beam; (iii) passing the exiting light beam through a focusing optical system which focuses the exiting light beam on a detector having a two-dimensional array of detector elements, so that at each instant each of the detector elements is the image of one pixel of the sample, so that the real image of the sample is stationary on the plane of the detector array, and so that each of the detector elements produces a signal which is a particular linear combination of light intensity emitted by the pixel at different wavelengths, wherein the linear combination is a function of the instantaneous optical path difference; (iv) rotating one or more of the elements of the interferometer system, so that the optical path difference between the two coherent beams generated by the interferometer system is scanned simultaneously for all the pixels of the sample; and (v) recording signals of each of the detector elements as function of time using a recording device to form a first spectral cube of data; and (c) interpreting the first spectral cube of data using a mathematical algorithm.
    • 根据本发明,提供了用于生物学研究,医学诊断和治疗的光谱成像方法,其包括以下步骤:(a)制备待成像的样品; (b)通过光学装置观察样品,光学装置光学连接到成像光谱仪,光学装置和成像光谱仪通过以下步骤获得样品的每个像素的光谱:(i)从所有像素同时收集入射光 的样品使用准直光学; (ii)使入射的准直光通过具有多个元件的干涉仪系统,以形成出射的光束; (iii)使出射的光束通过聚焦光学系统,该聚焦光学系统将出射的光束聚焦在具有检测器元件的二维阵列的检测器上,使得在每个瞬间,每个检测器元件是 样本,使得样本的真实图像在检测器阵列的平面上是静止的,并且使得每个检测器元件产生信号,其是由不同波长的像素发射的光强度的特定线性组合,其中 线性组合是瞬时光程差的函数; (iv)旋转干涉仪系统的一个或多个元件,使得由干涉仪系统产生的两个相干光束之间的光程差同时扫描样品的所有像素; 以及(v)使用记录装置记录每个检测器元件的信号作为时间的函数,以形成数据的第一光谱立方体; 和(c)使用数学算法解释数据的第一个频谱立方体。