Patents by Inventor Jacob Karl Rosenstein

Jacob Karl Rosenstein 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).

  • Patent number: 11790280
    Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: October 17, 2023
    Assignee: BROWN UNIVERSITY
    Inventors: Brenda Rubenstein, Jacob Karl Rosenstein, Christopher Arcadia, Shui Ling Chen, Amanda Doris Dombroski, Joseph D. Geiser, Eamonn Kennedy, Eunsuk Kim, Kady M. Oakley, Sherief Reda, Christopher Rose, Jason Kelby Sello, Hokchhay Tann, Peter Weber
  • Publication number: 20230027270
    Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.
    Type: Application
    Filed: September 1, 2022
    Publication date: January 26, 2023
    Inventors: Brenda RUBENSTEIN, Jacob Karl ROSENSTEIN, Christopher ARCADIA, Shui Ling CHEN, Amanda Doris DOMBROSKI, Joseph D. GEISER, Eamonn KENNEDY, Eunsuk KIM, Kady M. OAKLEY, Sherief REDA, Christopher ROSE, Jason Kelby SELLO, Hokchhay TANN, Peter WEBER, Dana Jo Biechele-Speziale, Selahaddin GUMUS
  • Publication number: 20230010731
    Abstract: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.
    Type: Application
    Filed: May 5, 2022
    Publication date: January 12, 2023
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein
  • Patent number: 11499186
    Abstract: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.
    Type: Grant
    Filed: October 15, 2019
    Date of Patent: November 15, 2022
    Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein
  • Publication number: 20220012646
    Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.
    Type: Application
    Filed: July 19, 2021
    Publication date: January 13, 2022
    Inventors: Brenda RUBENSTEIN, Jacob Karl ROSENSTEIN, Christopher ARCADIA, Shui Ling CHEN, Amanda Doris DOMBROSKI, Joseph D. GEISER, Eamonn KENNEDY, Eunsuk KIM, Kady M. OAKLEY, Sherief REDA, Christopher ROSE, Jason Kelby SELLO, Hokchhay TANN, Peter WEBER
  • Patent number: 11093865
    Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: August 17, 2021
    Assignee: Brown University
    Inventors: Brenda Rubenstein, Jacob Karl Rosenstein, Christopher Arcadia, Shui Ling Chen, Amanda Doris Dombroski, Joseph D. Geiser, Eamonn Kennedy, Eunsuk Kim, Kady M. Oakley, Sherief Reda, Christopher Rose, Jason Kelby Sello, Hokchhay Tann, Peter Weber
  • Publication number: 20210166159
    Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.
    Type: Application
    Filed: June 20, 2019
    Publication date: June 3, 2021
    Inventors: Brenda RUBENSTEIN, Jacob Karl ROSENSTEIN, Christopher ARCADIA, Shui Ling CHEN, Amanda Doris DOMBROSKI, Joseph D. GEISER, Eamonn KENNEDY, Eunsuk KIM, Kady M. OAKLEY, Sherief REDA, Christopher ROSE, Jason Kelby SELLO, Hokchhay TANN, Peter WEBER
  • Publication number: 20200115745
    Abstract: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.
    Type: Application
    Filed: October 15, 2019
    Publication date: April 16, 2020
    Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Jingyue JU, Shiv KUMAR, Zengmin LI, Chuanjuan TAO, Minchen CHIEN, James J. RUSSO, Sergey KALACHIKOV, Ken SHEPARD, Jacob Karl ROSENSTEIN
  • Patent number: 10443096
    Abstract: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.
    Type: Grant
    Filed: December 16, 2011
    Date of Patent: October 15, 2019
    Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein
  • Patent number: 10274477
    Abstract: A system for high-speed molecular diagnostics includes a self-resetting continuous-time integrator configured to integrate an input current on one of a plurality of integration capacitors to generate an integrated voltage. A self-resetting continuous-time differentiator is configured to differentiate the integrated voltage on one of a plurality of differentiating capacitors to generate an output voltage proportional to the input current. A fixed-threshold window comparator is configured to reset one of the plurality of integration capacitors, reset one of the plurality of differentiating capacitors, open a second one of the plurality of integration capacitors and open a second one of the plurality of differentiating capacitors in response to the integrated voltage exceeding a voltage range.
    Type: Grant
    Filed: December 11, 2015
    Date of Patent: April 30, 2019
    Assignee: Brown University
    Inventors: Jacob Karl Rosenstein, Shanshan Dai
  • Publication number: 20160169865
    Abstract: A system for high-speed molecular diagnostics includes a self-resetting continuous-time integrator configured to integrate an input current on one of a plurality of integration capacitors to generate an integrated voltage. A self-resetting continuous-time differentiator is configured to differentiate the integrated voltage on one of a plurality of differentiating capacitors to generate an output voltage proportional to the input current. A fixed-threshold window comparator is configured to reset one of the plurality of integration capacitors, reset one of the plurality of differentiating capacitors, open a second one of the plurality of integration capacitors and open a second one of the plurality of differentiating capacitors in response to the integrated voltage exceeding a voltage range.
    Type: Application
    Filed: December 11, 2015
    Publication date: June 16, 2016
    Applicant: Brown University
    Inventors: Jacob Karl Rosenstein, Shanshan Dai
  • Publication number: 20130264207
    Abstract: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.
    Type: Application
    Filed: December 16, 2011
    Publication date: October 10, 2013
    Inventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein