Ge Healthcare UK Limited

Cancer Research Technology Limited

Ian D Goodyer

Nicholas Thomas

Nicholas Salvatore Arini

Yuriy Alexandrov

Rahman Aziz Ismail

Anne Elizabeth Jones

Dietrich Otto Ruehlmann

Michael John Francis

Jonathan Mark Kendall

Bohdan Soltys

Louis Dagenais

Liz Roquemore

Jurek Cybuch

Nick Arini

Sam Murphy

Alla Zaltsman

Jonathon Noe Pines

A method of analysing a plurality of biological entities using an imaging apparatus. The method comprises: providing a marker for said plurality of biological entities, said marker being capable of identifying objects within said plurality of biological entities when detected using the imaging apparatus, the method of provision being arranged such that said marker is capable of identifying said objects during a first time period, and said marker is less capable of identifying said objects during a second time period; during the first time period, recording a marked-up image in which spatial definitions of said objects are identifiable from said marker; during the second time period, recording a first image of said plurality of biological entities; and generating a spatial definition for an object in said first image using data derived from said marked-up image.

Analysing biological entities

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.

Classification of cells into subpopulations using cell classifying data

The invention provides a novel, non-destructive and dynamic process for determining the cell cycle position of living cells. The invention also provides DNA constructs, and cell lines containing such constructs, that exhibit activation and deactivation of a detectable reporter molecule in a cell cycle specific manner. The invention thus allows greater precision in determining cell cycle phase status than existing techniques and further provides a method for continuous monitoring of cell cycle progression in individual cells.

Method for determining cell cycle position

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Eastbourne, United Kingdom

Ian D Goodyer