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Menlo Park, CA, United States

Patent
Cellogy Inc. | Date: 2014-04-23

A method and system for characterizing cell motion comprising: receiving image data corresponding to a set of images of a cell culture captured at a set of time points; segmenting, from at least one image of the set of images, a cell subpopulation from the cell culture; determining a resting signal for the cell subpopulation; determining a single-peak motion signal based upon the set of images, the set of time points, and the resting signal; detrending the single-peak motion signal of the cell subpopulation based upon the resting signal; determining values of a set of motion features of the cell subpopulation, thereby characterizing cell motion; and clustering the cell subpopulation with at least one other cell subpopulation based upon at least one of the single-peak motion signal and a value of the set of motion features.


Patent
Cellogy Inc. | Date: 2014-09-22

A method and system for characterizing a cell population including a set of cell subpopulations, the method comprising: at a processing system, receiving image data corresponding to a set of images of the cell population captured at a set of time points; at the processing system, generating an analysis based upon processing the set of images according to: a cell stage classification module configured to automatically identify a cell class of each of the set of cell subpopulations, and a cell graph representation module configured to characterize geometric and spatial features of the set of cell subpopulations; from the analysis, determining a set of parameters characterizing the cell population; and generating an indication of quality of the cell population based upon a comparison between at least one parameter of the set of parameters and a set of reference values.


Maddah M.,Cellogy Inc. | Loewke K.,Cellogy Inc.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Stem cell-derived cardiomyocytes hold tremendous potential for drug development and safety testing related to cardiovascular health. The characterization of cardiomyocytes is most commonly performed using electrophysiological systems, which are expensive, laborious to use, and may induce undesirable cellular response. Here, we present a new method for non-invasive characterization of cardiomyocytes using video microscopy and image analysis. We describe an automated pipeline that consists of segmentation of beating regions, robust beating signal calculation, signal quantification and modeling, and hierarchical clustering. Unlike previous imaging-based methods, our approach enables clinical applications by capturing beating patterns and arrhythmias across healthy and diseased cells with varied densities. We demonstrate the strengths of our algorithm by characterizing the effects of two commercial drugs known to modulate beating frequency and irregularity. Our results provide, to our knowledge, the first clinically-relevant demonstration of a fully-automated and non-invasive imaging-based beating assay for characterization of stem cell-derived cardiomyocytes. © 2014 Springer International Publishing. Source


Trademark
Cellogy Inc. | Date: 2014-03-07

Scientific instruments and apparatus; computer hardware; computer software; computer software used by scientists and clinicians to visualize, analyze, and process digital images in the fields of biology and biomedicine; computer software for controlling and operating laboratory equipment, namely, cellular imaging and analysis instruments; computer software for the acquisition, analysis, storage, and reporting of scientific data for use in the fields of biology and biomedicine; computer software for image analysis in the fields of biology and biomedicine; computer software for microscope image analysis; computer software for cell imaging analysis; laboratory instruments and apparatus for handling, sorting, storing, and analyzing biological or chemical samples; computer software for use in the analysis and visualization of biological and chemical samples; laboratory equipment and apparatus, namely, imaging readers, microplate readers, microarray analysis scanners, and software for use therewith, namely, operating software, software for data warehousing, software for data acquisition and reporting, software for advanced analysis and visualization, and software for instrument validation; microarray scanner for microscopic imaging and scanning; computer hardware for the transmission of data and digital images between laboratory instruments and computers; computer software used to direct, monitor, and regulate microarray scanners in the field of laboratory research; computer software for acquiring, analyzing, and storing data from microarray scans in the field of laboratory research. Scientific and technological research and development in the fields of biology and biomedicine; design and development of computer hardware and software; computer services; providing temporary use of non-downloadable software; providing temporary use of non-downloadable software used by scientists and clinicians to visualize, analyze, and process digital images in the fields of biology and biomedicine; providing temporary use of non-downloadable software for the acquisition, analysis, storage, and reporting of scientific data for use in the fields of biology and biomedicine; providing temporary use of non-downloadable software for image analysis in the fields of biology and biomedicine; providing temporary use of non-downloadable software for microscope image analysis; providing temporary use of non-downloadable software for cell imaging analysis; providing temporary use of non-downloadable software for use in the analysis and visualization of biological and chemical samples; software as a service (SAAS) services; software as a service (SAAS) services featuring software used to visualize, analyze, and process digital images in the fields of biology and biomedicine; providing a database featuring scientific information in the fields of biotechnology and biomedicine; providing a database featuring scientific information in the field of cell imaging and analysis.


Maddah M.,Cellogy Inc. | Heidmann J.D.,Cellogy Inc. | Mandegar M.A.,Gladstone | Walker C.D.,Cellogy Inc. | And 4 more authors.
Stem Cell Reports | Year: 2015

We present a non-invasive method to characterize the function of pluripotent stem-cell-derived cardiomyocytes based on video microscopy and image analysis. The platform, called Pulse, generates automated measurements of beating frequency, beat duration, amplitude, and beat-to-beat variation based on motion analysis of phase-contrast images captured at a fast frame rate. Using Pulse, we demonstrate recapitulation of drug effects in stem-cell-derived cardiomyocytes without the use of exogenous labels and show that our platformcan be used for high-throughput cardiotoxicity drug screening and studying physiologically relevant phenotypes. Source

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