公开(公告)号：US07469056B2

公开(公告)日：2008-12-23

申请号：US10514925

申请日：2003-05-09

申请人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan J. Soltys

发明人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan J. Soltys

IPC分类号： G06K9/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, including an automated microscope, a fast autofocus device and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 一种用于在药物发现中进行自动细胞筛选的系统，包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最小的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

公开(公告)号：US09057701B2

公开(公告)日：2015-06-16

申请号：US12817422

申请日：2010-06-17

申请人： Peter Ramm ,  Yuriy Alexandrov ,  Paul Donders ,  Carlos Zarate ,  Bohdan J. Soltys

发明人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan J. Soltys

IPC分类号： G06K9/00 ,  G01N21/64 ,  G01N15/14 ,  G01N33/50 ,  G06T7/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, includes an automated microscope, a fast autofocus device, and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 用于在药物发现中进行自动细胞筛选的系统包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最小的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

公开(公告)号：US20090074283A1

公开(公告)日：2009-03-19

申请号：US12253275

申请日：2008-10-17

申请人： PETER RAMM ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan J. Soltys

发明人： PETER RAMM ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan J. Soltys

IPC分类号： G06K9/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, includes an automated microscope, a fast autofocus device, and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 用于在药物发现中进行自动细胞筛选的系统包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最少的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

公开(公告)号：US07764822B2

公开(公告)日：2010-07-27

申请号：US12253275

申请日：2008-10-17

申请人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

发明人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

IPC分类号： G06K9/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, includes an automated microscope, a fast autofocus device, and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 用于在药物发现中进行自动细胞筛选的系统包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最小的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

公开(公告)号：US20060257013A1

公开(公告)日：2006-11-16

申请号：US10514925

申请日：2003-05-09

申请人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

发明人： Peter Ramm ,  Yuriy Alexandrov ,  Jurich Cybuch ,  Paul Donders ,  Carlos Zarate ,  Bohdan Soltys

IPC分类号： G06K9/00

CPC分类号： G01N21/6458 ,  G01N15/1475 ,  G01N21/6428 ,  G01N33/5026 ,  G01N2015/1497 ,  G01N2333/4603 ,  G06K9/00127 ,  G06T7/0012 ,  G06T7/187 ,  G06T2207/10056 ,  G06T2207/30024

摘要： A system for performing automated cell screening in drug discovery, including an automated microscope, a fast autofocus device and a digital imaging system. Processes are implemented in software through which relevant cellular material is segmented and quantified with minimal user interaction. Improvements in the following areas: known methods for image processing are implemented in such a way that automated segmentation is achieved; sets of known measurements (pixel counting, etc.) are implemented as methods which demonstrate aspects of biology in a reliable fashion; components for automated positioning, focusing, imaging and processing of a multiplicity of samples are integrated as systems within which the segmentation and measurement methods may be mounted; and components and methods are adapted into systems which yield more highly automated and more rapid cell screening.

摘要翻译： 一种用于在药物发现中进行自动细胞筛选的系统，包括自动显微镜，快速自动对焦装置和数字成像系统。 过程在软件中实现，通过该软件，相关的细胞材料通过最小的用户交互被分段和量化。 以下领域的改进：图像处理的已知方法以实现自动分割的方式实现; 已知测量的集合（像素计数等）被实现为以可靠的方式示出生物学方面的方法; 将多个样本的自动定位，聚焦，成像和处理的组件集成为其中可以安装分割和测量方法的系统; 并且组件和方法被适应成产生更高度自动化和更快速的细胞筛选的系统。

公开(公告)号：US20130004938A1

公开(公告)日：2013-01-03

申请号：US13634613

申请日：2011-03-18

申请人： Yuriy Alexandrov ,  Albert Francis Santos

发明人： Yuriy Alexandrov ,  Albert Francis Santos

IPC分类号： G06F19/24 ,  C12M1/36 ,  C12N5/077 ,  C12N5/071 ,  C12N5/079 ,  C12M1/34 ,  C12Q3/00

摘要： In one aspect the present invention relates to a system 100 for automated extraction of multi-cellular physiological parameters. The system 100 comprises a morphogenesis module 160 for growing a plurality of cells, a monitoring unit 110 for monitoring the plurality of cells, a controller 140 for controlling the morphogenesis module 160 and the monitoring unit 110 to grow the plurality of cells and analyse the growth of the plurality of cells in order to determine the multi-cellular physiological parameters, the controller (140) further comprising a process modeling unit (146) for determining inter-cellular interactions in response to various process conditions. The multi-cellular physiological parameters may provide an optimised protocol for growing various tissue types. A further aspect of the present invention provides a method 200 for automated extraction of multi-cellular physiological parameters. The method 200 comprises growing 202 a plurality of cells, monitoring 204 the plurality of cells, and analysing 206 the growth of the plurality of cells in order to determine 208 the multi-cellular physiological parameters, and adaptively modifying a process model to provide a learning algorithm for determining an optimised tissue growth protocol. The cells may, for example, include pluripotent stem cells, or derived differentiated cells.

摘要翻译： 一方面，本发明涉及用于自动提取多细胞生理参数的系统100。 系统100包括用于生长多个细胞的形态发生模块160，用于监测多个细胞的监测单元110，用于控制形态发生模块160和监测单元110的生长多个细胞并分析生长的控制器140 以确定多细胞生理参数，所述控制器（140）还包括用于响应于各种过程条件确定细胞间相互作用的过程建模单元（146）。 多细胞生理参数可以提供用于生长各种组织类型的优化方案。 本发明的另一方面提供了一种用于自动提取多细胞生理参数的方法200。 方法200包括生长202个多个小区，监测204个多个小区，并分析206个多个小区的生长，以便确定208多细胞生理参数，并自适应地修改过程模型以提供学习 用于确定优化的组织生长方案的算法。 细胞可以例如包括多能干细胞或衍生的分化细胞。

公开(公告)号：US08041090B2

公开(公告)日：2011-10-18

申请号：US12065744

申请日：2006-08-16

申请人： Yuriy Alexandrov ,  Iain Bye ,  Geert Kalusche

发明人： Yuriy Alexandrov ,  Iain Bye ,  Geert Kalusche

IPC分类号： G06K9/00 ,  G06K9/20

CPC分类号： G06T7/0012 ,  G01N15/1475 ,  G01N2015/1477 ,  G06K9/00147 ,  G06K9/6228 ,  G06T2207/30024

摘要： A computer-implemented method of performing image processing for images of biological objects includes: storing definitions of a plurality of descriptors; receiving image data relating to an image of a reference population of biological objects; receiving image data relating to an image of a target population of biological objects; processing the reference population image data to obtain a reference set of measurements, containing data for each of the descriptors; processing the target population image data to obtain a target set of measurements, containing data for each of the descriptors; and selecting a combination of the descriptors on the basis of comparing the reference set with the target set to define a preferred combination of the descriptors for use in identifying characteristics of a further population of biological objects which are similar to those of the target population.

摘要翻译： 对生物体图像执行图像处理的计算机实现方法包括：存储多个描述符的定义; 接收与生物体的参考群体的图像有关的图像数据; 接收与目标生物体群体的图像有关的图像数据; 处理参考群体图像数据以获得包含每个描述符的数据的参考测量集合; 处理目标人群图像数据以获得包含每个描述符的数据的目标测量集合; 以及基于将所述参考集合与所述目标集合进行比较来选择所述描述符的组合，以限定所述描述符的优选组合，以用于识别与所述目标群体类似的生物体的其他群体的特征。

公开(公告)号：US20080253642A1

公开(公告)日：2008-10-16

申请号：US12090508

申请日：2006-10-18

申请人： Yuriy Alexandrov

发明人： Yuriy Alexandrov

IPC分类号： G06K9/00

CPC分类号： G06T5/003 ,  G06T5/30 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/30024

摘要： A method of processing an input image produces an output image emphasising peak-like structures. The input image comprises input pixels and each input pixel has an intensity characteristic. The output image comprises corresponding output pixels and each output pixel has a value. The method comprises the step of calculating for an input pixel the second derivative of the intensity characteristic in two orthogonal directions, one of the directions being the direction of maximum curvature. The product of the two second derivatives is calculated and the value of the output pixel corresponding to the input pixel is determined in dependence on the product.

摘要翻译： 处理输入图像的方法产生强调峰状结构的输出图像。 输入图像包括输入像素，并且每个输入像素具有强度特性。 输出图像包括相应的输出像素，并且每个输出像素具有一个值。 该方法包括以下步骤：输入像素计算两个正交方向上强度特征的二阶导数，其中一个方向是最大曲率方向。 计算两个二阶导数的乘积，并根据产品确定与输入像素对应的输出像素的值。

公开(公告)号：US07369696B2

公开(公告)日：2008-05-06

申请号：US10817213

申请日：2004-04-02

申请人： Nick Arini ,  Alla Zaltsman ,  Ian Goodyer ,  Yuriy Alexandrov ,  Jurek Cybuch ,  Bohdan Soltys ,  Louis Dagenais ,  Liz Roquemore ,  Sam Murphy

发明人： Nick Arini ,  Alla Zaltsman ,  Ian Goodyer ,  Yuriy Alexandrov ,  Jurek Cybuch ,  Bohdan Soltys ,  Louis Dagenais ,  Liz Roquemore ,  Sam Murphy

IPC分类号： G06F19/00 ,  G06F7/08 ,  G06K9/00

CPC分类号： G06K9/00127 ,  G01N15/1475 ,  G01N21/6428 ,  G01N21/6452 ,  G01N21/6458 ,  G01N2015/1477 ,  G01N2015/1493

摘要： A method of classifying cells into subpopulations using cell classifying data is described. The method comprises receiving and analyzing image data to identify object areas in the image data to determine, for at least one selected first cell, one or more measurements. A first parameter set is derived from the measurements for the first cell, the first parameter set comprising at least one of said one or more measurements. The first set of cells are classified into subpopulations, and identified to produce first identifying data. Cell classifying data for use in classifying a second set of cells into subpopulations is derived from the first parameter set and the first identifying data. A second set of cells is classified into subpopulations on the basis of one or more measurements taken for cells in the second set of cells, by use of the cell classifying data. The parameter sets of cells may be represented as vectors in an n-dimensional space.

摘要翻译： 描述了使用细胞分类数据将细胞分类为亚群体的方法。 该方法包括接收和分析图像数据以识别图像数据中的对象区域，以便对于至少一个所选择的第一小区来确定一个或多个测量。 从第一单元的测量得到第一参数集，第一参数集包括所述一个或多个测量中的至少一个。 第一组细胞被分类为亚群，并被鉴定以产生第一识别数据。 从第一参数集和第一识别数据导出用于将第二组细胞分类为子群体的细胞分类数据。 基于对第二组细胞中的细胞进行的一次或多次测量，通过使用细胞分类数据将第二组细胞分类为亚群体。 单元的参数集可以表示为n维空间中的向量。

公开(公告)号：US20050207633A1

公开(公告)日：2005-09-22

申请号：US10817213

申请日：2004-04-02

申请人： Nick Arini ,  Alla Zaltsman ,  Ian Goodyer ,  Yuriy Alexandrov ,  Jurek Cybuch ,  Bohdan Soltys ,  Louis Dagenais ,  Liz Roquemore ,  Sam Murphy

发明人： Nick Arini ,  Alla Zaltsman ,  Ian Goodyer ,  Yuriy Alexandrov ,  Jurek Cybuch ,  Bohdan Soltys ,  Louis Dagenais ,  Liz Roquemore ,  Sam Murphy

IPC分类号： G01N15/14 ,  G01N21/64 ,  G06K9/00 ,  G06K9/62

CPC分类号： G06K9/00127 ,  G01N15/1475 ,  G01N21/6428 ,  G01N21/6452 ,  G01N21/6458 ,  G01N2015/1477 ,  G01N2015/1493

摘要： A method of classifying cells into subpopulations using cell classifying data is described. The method comprises receiving and analyzing image data to identify object areas in the image data to determine, for at least one selected first cell, one or more measurements. A first parameter set is derived from the measurements for the first cell, the first parameter set comprising at least one of said one or more measurements. The first set of cells are classified into subpopulations, and identified to produce first identifying data. Cell classifying data for use in classifying a second set of cells into subpopulations is derived from the first parameter set and the first identifying data. A second set of cells is classified into subpopulations on the basis of one or more measurements taken for cells in the second set of cells, by use of the cell classifying data. The parameter sets of cells may be represented as vectors in an n-dimensional space.

摘要翻译： 描述了使用细胞分类数据将细胞分类为亚群体的方法。 该方法包括接收和分析图像数据以识别图像数据中的对象区域，以便对于至少一个所选择的第一小区来确定一个或多个测量。 从第一单元的测量得到第一参数集，第一参数集包括所述一个或多个测量中的至少一个。 第一组细胞被分类为亚群，并被鉴定以产生第一识别数据。 从第一参数集和第一识别数据导出用于将第二组细胞分类为子群体的细胞分类数据。 基于对第二组细胞中的细胞进行的一次或多次测量，通过使用细胞分类数据将第二组细胞分类为亚群体。 单元的参数集可以表示为n维空间中的向量。