Patents by Inventor Michael G. Meyer
Michael G. Meyer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11885732Abstract: A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.Type: GrantFiled: October 18, 2022Date of Patent: January 30, 2024Assignee: VisionGate, Inc.Inventors: Michael G. Meyer, Daniel J. Sussman, Rahul Katdare, Laimonas Kelbauskas, Alan C. Nelson, Randall Mastrangelo
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Patent number: 11835064Abstract: A gas turbine engine comprises an engine core and an electric fan array. The engine core includes a compressor, a combustor, and a turbine. The compressor compresses and delivers air to the combustor. The combustor mixes fuel with the compressed air received from the compressor and ignites the fuel. The hot, high-pressure products of the combustion reaction in the combustor are directed into the turbine to cause the turbine to rotate about an axis and drive the compressor. The electric fan array may include at least two non-concentric fans having parallel shafts.Type: GrantFiled: December 27, 2022Date of Patent: December 5, 2023Assignees: Rolls-Royce North American Technologies Inc., Rolls-Royce CorporationInventors: Robert W. Heeter, Daniel E. Molnar, Jr., Kathryn A. Sontag, Michael G. Meyer
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Publication number: 20230289407Abstract: A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.Type: ApplicationFiled: December 12, 2022Publication date: September 14, 2023Inventors: Michael G. Meyer, Laimonas Kelbauskas, Rahul Katdare, Daniel J. Sussman, Timothy Bell, Alan C. Nelson
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Publication number: 20230050322Abstract: A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.Type: ApplicationFiled: October 18, 2022Publication date: February 16, 2023Inventors: Michael G. Meyer, Daniel J. Sussman, Rahul Katdare, Laimonis Kelbauskas, Alan C. Nelson, Randall Mastrangelo
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Patent number: 11551043Abstract: A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.Type: GrantFiled: February 28, 2019Date of Patent: January 10, 2023Assignee: VISIONGATE, INC.Inventors: Michael G. Meyer, Laimonas Kelbauskas, Rahul Katdare, Daniel J. Sussman, Timothy Bell, Alan C. Nelson
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Patent number: 11545237Abstract: A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.Type: GrantFiled: September 26, 2018Date of Patent: January 3, 2023Assignee: VISIONGATE, INC.Inventors: Michael G. Meyer, Daniel J. Sussman, Rahul Katdare, Laimonas Kelbauskas, Alan C. Nelson, Randall Mastrangelo
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Patent number: 11069054Abstract: A method of treating a malignancy in a human subject by analyzing pseudo-projection images of cells obtained from a sputum specimen obtained from a subject employs a biological specimen classifier that identifies cells from the sputum specimen as normal or abnormal. If abnormal cells are detected, then the abnormal cells are further classified as dysplastic or cancerous. If the cells are classified as dysplastic, then an immunomodulating agent is administered to the subject over a predetermined time period designed to achieve a therapeutic dosage.Type: GrantFiled: January 11, 2017Date of Patent: July 20, 2021Assignee: VisionGate, Inc.Inventors: Alan C. Nelson, Michael G. Meyer, Daniel J. Sussman
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Publication number: 20210210169Abstract: A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.Type: ApplicationFiled: September 26, 2018Publication date: July 8, 2021Applicant: VISIONGATE, INC.Inventors: Michael G. MEYER, Daniel J. SUSSMAN, Rahul KATDARE, Laimonis KELBAUSKAS, Alan C. NELSON, Randall MASTRANGELO
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Publication number: 20210200987Abstract: A method to develop one or more morphometric classifiers to identify a mismatch repair deficiency (MMRD). The method provides a non-invasive method of characterizing MMRD that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.Type: ApplicationFiled: June 5, 2019Publication date: July 1, 2021Applicant: VISIONGATE, INC.Inventors: Daniel J. Sussman, Michael G. Meyer, Randall Mastrangelo, Alan C. Nelson
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Publication number: 20210049425Abstract: A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.Type: ApplicationFiled: February 28, 2019Publication date: February 18, 2021Applicant: VISIONGATE, INC.Inventors: Michael G. Meyer, Laimonis Kelbauskas, Rahul Katdare, Daniel J. Sussman, Timothy Bell, Alan C. Nelson
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Patent number: 10697320Abstract: A gas turbine engine assembly includes a static component and a rotatable component configured to rotate about a central axis of the gas turbine engine assembly relative to the static component. The gas turbine engine assembly further includes a vibration-dampening system configured to dampen vibration of the gas turbine engine assembly.Type: GrantFiled: January 10, 2018Date of Patent: June 30, 2020Assignee: Rolls-Royce CorporationInventors: Roy D. Fulayter, Michael G. Meyer
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Publication number: 20180209345Abstract: A gas turbine engine assembly includes a static component and a rotatable component configured to rotate about a central axis of the gas turbine engine assembly relative to the static component. The gas turbine engine assembly further includes a vibration-dampening system configured to dampen vibration of the gas turbine engine assembly.Type: ApplicationFiled: January 10, 2018Publication date: July 26, 2018Inventors: Roy D. Fulayter, Michael G. Meyer
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Publication number: 20170140533Abstract: A method of treating a malignancy in a human subject by analyzing pseudo-projection images of cells obtained from a sputum specimen obtained from a subject employs a biological specimen classifier that identifies cells from the sputum specimen as normal or abnormal. If abnormal cells are detected, then the abnormal cells are further classified as dysplastic or cancerous. If the cells are classified as dysplastic, then an immunomodulating agent is administered to the subject over a predetermined time period designed to achieve a therapeutic dosage.Type: ApplicationFiled: January 11, 2017Publication date: May 18, 2017Applicant: VISIONGATE, INC.Inventors: Alan C. Nelson, Michael G. Meyer
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Patent number: 9594072Abstract: A cytological analysis test for 3D cell classification from a specimen. The method includes isolating and preserving a cell from the specimen and enriching the cell before embedding the enriched cell into an optical medium. The embedded cell is injected into a capillary tube where pressure is applied until the cell appears in a field of view of a pseudo-projection viewing subsystem to acquire a pseudo-projection image. The capillary tube rotates about a tube axis to provide a set of pseudo-projection images for each embedded cell which are reconstructed to produce a set of 3D cell reconstructions. Reference cells are classified and enumerated and a second cell classifier detects target cells. An adequacy classifier compares the number of reference cells against a threshold value of enumerated reference cells to determine specimen adequacy.Type: GrantFiled: June 30, 2015Date of Patent: March 14, 2017Assignee: VISIONGATE, INC.Inventors: Michael G. Meyer, Rahul Katdare, Chris Presley, Timothy Bell
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Publication number: 20170003267Abstract: A cytological analysis test for 3D cell classification from a specimen. The method includes isolating and preserving a cell from the specimen and enriching the cell before embedding the enriched cell into an optical medium. The embedded cell is injected into a capillary tube where pressure is applied until the cell appears in a field of view of a pseudo-projection viewing subsystem to acquire a pseudo-projection image. The capillary tube rotates about a tube axis to provide a set of pseudo-projection images for each embedded cell which are reconstructed to produce a set of 3D cell reconstructions. Reference cells are classified and enumerated and a second cell classifier detects target cells. An adequacy classifier compares the number of reference cells against a threshold value of enumerated reference cells to determine specimen adequacy.Type: ApplicationFiled: June 30, 2015Publication date: January 5, 2017Applicant: VISIONGATE, INC.Inventors: Michael G. Meyer, Rahul Katdare, Chris Presley, Timothy Bell
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Patent number: 8947510Abstract: A method for 3D imaging of a biologic object (1) in an optical tomography system where a subcellular structure of a biological object (1) is labeled by introducing at least one nanoparticle-biomarker. The labeled biological object (1) is moved relatively to a microscope objective (62) to present varying angles of view and the labeled biological object (1) is illuminated with radiation having wavelengths between 150 nm and 900 nm. Radiation transmitted through the labeled biological object (1) and the microscope objective (62) within at least one wavelength bands is sensed with a color camera, or with a set of at least four monochrome cameras. A plurality of cross-sectional images of the biological object (1) from the sensed radiation is formed and reconstructed to make a 3D image of the labeled biological object (1).Type: GrantFiled: June 8, 2009Date of Patent: February 3, 2015Assignee: Visiongate, Inc.Inventors: Michael G. Meyer, J. Richard Rahn, Anna V. Tourovskaia, Julia Oi Yan Yu, Christy A Lancaster, Thomas Neumann, Mark E. Fauver
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Publication number: 20120105600Abstract: A method for 3D imaging of a biologic object (1) in an optical tomography system where a subcellular structure of a biological object (1) is labeled by introducing at least one nanoparticle-biomarker. The labeled biological object (1) is moved relatively to a microscope objective (62) to present varying angles of view and the labeled biological object (1) is illuminated with radiation having wavelengths between 150 nm and 900 nm. Radiation transmitted through the labeled biological object (1) and the microscope objective (62) within at least one wavelength bands is sensed with a color camera, or with a set of at least four monochrome cameras. A plurality of cross-sectional images of the biological object (1) from the sensed radiation is formed and reconstructed to make a 3D image of the labeled biological object (1).Type: ApplicationFiled: June 8, 2009Publication date: May 3, 2012Inventors: Michael G. Meyer, J. Richard Rahn, Anna V. Tourovskaia, Julia Oi Yan Yu, Christy A. Lancaster, Thomas Neumann, Mark E. Fauver
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Patent number: 8155420Abstract: A system and method for detecting poor quality images in an optical tomography system includes an acquisition apparatus for acquiring a set of pseudo-projection images of an object having a center of mass, where each of the set of pseudo-projection images is acquired at a different angle of view. A reconstruction apparatus is coupled to receive the pseudo-projection images, for reconstruction of the pseudo-projection images into 3D reconstruction images. A quality apparatus is coupled to receive the 3D reconstruction images and operates to detect of selected features that characterize poor quality reconstructions.Type: GrantFiled: May 21, 2009Date of Patent: April 10, 2012Assignee: Visiongate, IncInventors: Michael G. Meyer, Rahul Katdare, David Ethan Steinhauer, J. Richard Rahn
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Patent number: 8090183Abstract: Correcting pattern noise projection images includes acquiring a set of projection images with an optical tomography system including a processor, where each of the set of projection images is acquired at a different angle of view. A threshold is applied to each projection image produce a set of threshold images. Each threshold image may optionally be dilated to produce a set of dilated images that are summed to form an ensemble image. Each of the dilated images is processed to produce a set of binary images. The set of binary images are summed to form an ensemble mask. The ensemble image is divided by the ensemble mask to yield a background pattern noise image. Each projection image is multiplied by a scaling factor and divided by the background pattern noise to produce a quotient image that is filtered to produce a noise corrected projection image.Type: GrantFiled: March 12, 2009Date of Patent: January 3, 2012Assignee: Visiongate, Inc.Inventors: Michael G. Meyer, Jon W. Hayenga, Thomas M. Abbott, David E. Steinhauer
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Patent number: 7907765Abstract: An optical tomography system for imaging an object of interest including a light source for illuminating the object of interest with a plurality of radiation beams. The object of interest is held within an object containing tube such that it is illuminated by the plurality of radiation beams to produce emerging radiation from the object containing tube, a detector array is located to receive the emerging radiation and produce imaging data used by a mechanism for tracking the object of interest.Type: GrantFiled: September 18, 2006Date of Patent: March 15, 2011Assignees: University of Washington, Visiongate, Inc.Inventors: Mark E. Fauver, Eric J. Seibel, Michael G. Meyer, Alan C. Nelson, J. Richard Rahn, Thomas Neumann, Roger H. Johnson