Ge Healthcare Niagara Inc.

Ge Healthcare Bio-sciences Ab

Ge Healthcare Bio-sciences Corp.

Xudong Li

Louis Ernest Dagenais

William Mark Durksen

Del Archer

Jens Rittscher

Ali Can

Dirk Ryan Padfield

Geert Kalusche

Joseph J O Ruanaidh

Umesha Adiga

Elizabeth P Roquemore

Marcin Swiatek

Joseph O Ruanaidh

Umesh Adiga

Dirk R Padfield

A computer-based method for the development of an image analysis protocol for analyzing image data, the image data containing images including image objects, in particular biological image objects such as biological cells. The image analysis protocol, once developed, is operable in an image analysis software system to report on one or more measurements conducted on selected ones of the image objects. The development process includes defining target identification settings to identify at least two different target sets of image objects, defining target identification settings to identify at least two different target sets of image objects, and defining one or more measurements to be performed using said pair-wise linking relationship(s).

Method of, and apparatus and computer software for, implementing image analysis protocols

This invention, which provides a method for detecting a corruption in an image acquired from a biological sample, includes: providing at least one image of at least one cell; generating the image of the at least one cell over a period of time; determining if the at least one image of the at least one cell is corrupted; applying a wavelet transform, Fourier transform, or other frequency decomposing transform to the at least one image to decompose the at least one image into a plurality of sub-images, wherein the plurality of sub-images have a plurality of low frequency channels, a plurality of middle frequency channels and a plurality of high frequency channels; calculating a ratio based on an energy level of the plurality of low frequency channels and the plurality of middle frequency channels; and removing the at least one image of at least one cell if the at least one image is corrupted.

System and method for detecting and eliminating one or more defocused or low contrast-to-noise ratio images

This invention provides an automated system and method that allows a user to track the movement of an object, such as at least one cell amongst a plurality of cells as it moves from one point to another over time in order for the user to determine how the at least one cell functions. The user is able to track the movement of the at least one cell and determine if the at least one cell structure has changed, such as the at least one cell experiencing cell division or if two or more cells merge together. This user is able to optimally track the at least one cell to find an approximate location of at least one the cell as it moves in time and distance. Thus, this invention provides the user with a means to track cell movement to study the cell function.

System and method for tracking the movement of biological materials

A computer-based method for the development of an image analysis protocol for analyzing image data, the image data containing images including image objects, in particular biological image objects such as biological cells. The image analysis protocol, once developed, is operable in an image analysis software system to report on one or more measurements conducted on selected ones of the image objects. The development process includes providing functions for selecting predetermined image analysis procedures, the functions allowing the user to define:

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Piscataway, NJ, United States of America

Xudong Li