Menlo Park, CA, United States
Menlo Park, CA, United States

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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.


PubMed | Gladstone, University of California at San Francisco and Cellogy Inc.
Type: Journal Article | Journal: 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 platform can be used for high-throughput cardiotoxicity drug screening and studying physiologically relevant phenotypes.


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.


Patent
Cellogy Inc. | Date: 2016-04-28

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.


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

Computer hardware; 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; 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 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.


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.


Grant
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: SBIR | Phase: Phase II | Award Amount: 936.00K | Year: 2015

DESCRIPTION provided by applicant Cellogy has developed a novel technology concept called PulseTM for the functional characterization of stem cell derived cardiomyocytes Pulse performs automated characterization of beating cardiomyocytes using video microscopy and novel image analysis algorithms and provides a level of automation and scale otherwise not available Pulse generates measurements of beating frequency irregularity and QT interval based on motion analysis of phase contrast images captured at a fast frame rate Pulse is the first beating assay designed to be fully compatible with common cell culture practices completely non invasive to cells and cost effective making it ideal for large scale cardiovascular drug development and cardiotoxicity testing In addition Pulse accommodates any type of cell plating by automatically recognizing distinct beating regions enabling new types of high throughput single cell studies Cardiac safety is an important problem facing the pharmaceutical industry and accounts for nearly of the withdrawal of FDA approved drugs from the market The concerns over cardiac safety are further complicated by the extremely high costs of new drug development and the low success rates of late stage clinical trials There is therefore a significant need for better tools to predict cardiotoxicity during the preclinical stages of drug development Such tools would have a significant impact on human health and the U S economy by developing safer drugs and reducing costs related to drug failures Patch clamp assays are the current standard reference for high precision electrical measurements of single cardiomyocytes However they require manual setup by a trained expert Such assays are inherently a low throughput technology that will not scale to meet the demand of large scale drug testing One alternative imaging of calcium signaling is useful as a reference but limited by potential interactions with other compounds We believe that a contact free label free imaging technique is not only a viable alternative but also a technology that will enable cost effective high throughput analysis in a completely automated fashion Such automated and non invasive assays can be used more routinely for drug development and ultimately for patient specific studies Over the past year we have successfully completed the initial development phase and demonstrated the feasibility of our Pulse technology platform In this Direct to Phase II SBIR proposal we seek funding to support and accelerate the development of the Pulse product Our goal is to continue to innovate and optimize the Pulse product so it may become the standard andapos go toandapos assay for cardiomyocyte based drug screening and toxicity testing PUBLIC HEALTH RELEVANCE Stem cell derived cardiomyocytes hold tremendous potential for drug development and safety testing related to cardiovascular health In this Direct to Phase SBIR proposal we seek to commercialize a novel platform called PulseTM for label free contact free characterization of cardiomyocytes using video microscopy and state of the art computer vision analysis Pulse is the first beating assay designed to be high throughput fully compatible with common cell culture practices and completely non invasive to cells making it ideal for cardiovascular drug development and cardiotoxicity testing


Maddah M.,Cellogy Inc. | Loewke K.,Cellogy Inc.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 | Year: 2014

The increased use of stem cells to study disease states in vitro has created a need for tools that provide automated, non-invasive, and objective characterization of cell cultures. In this work, we address this need by developing a novel framework for stem cell assessment using time-lapse phase-contrast microscopy and automated texture-based analysis of images. We capture and quantify morphological changes during stem cell colony growth by segmenting each image of the time-lapse sequence into five distinct classes of cells. We apply our automated classification to enable non-invasive estimation of cell doubling time, and demonstrate applications of the presented framework for quantitative assessment of cell culture conditions. © 2014 IEEE.

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