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: 11790280Abstract: 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: GrantFiled: July 19, 2021Date of Patent: October 17, 2023Assignee: BROWN UNIVERSITYInventors: 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: 20230027270Abstract: 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: ApplicationFiled: September 1, 2022Publication date: January 26, 2023Inventors: 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: 20230010731Abstract: 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: ApplicationFiled: May 5, 2022Publication date: January 12, 2023Applicant: The Trustees of Columbia University in the City of New YorkInventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein
-
Patent number: 11499186Abstract: 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: GrantFiled: October 15, 2019Date of Patent: November 15, 2022Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORKInventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein
-
Publication number: 20220012646Abstract: 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: ApplicationFiled: July 19, 2021Publication date: January 13, 2022Inventors: 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: 11093865Abstract: 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: GrantFiled: June 20, 2019Date of Patent: August 17, 2021Assignee: Brown UniversityInventors: 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: 20210166159Abstract: 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: ApplicationFiled: June 20, 2019Publication date: June 3, 2021Inventors: 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: 20200115745Abstract: 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: ApplicationFiled: October 15, 2019Publication date: April 16, 2020Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORKInventors: Jingyue JU, Shiv KUMAR, Zengmin LI, Chuanjuan TAO, Minchen CHIEN, James J. RUSSO, Sergey KALACHIKOV, Ken SHEPARD, Jacob Karl ROSENSTEIN
-
Patent number: 10443096Abstract: 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: GrantFiled: December 16, 2011Date of Patent: October 15, 2019Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORKInventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein
-
Patent number: 10274477Abstract: 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: GrantFiled: December 11, 2015Date of Patent: April 30, 2019Assignee: Brown UniversityInventors: Jacob Karl Rosenstein, Shanshan Dai
-
Publication number: 20160169865Abstract: 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: ApplicationFiled: December 11, 2015Publication date: June 16, 2016Applicant: Brown UniversityInventors: Jacob Karl Rosenstein, Shanshan Dai
-
Publication number: 20130264207Abstract: 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: ApplicationFiled: December 16, 2011Publication date: October 10, 2013Inventors: Jingyue Ju, Shiv Kumar, Zengmin Li, Chuanjuan Tao, Minchen Chien, James J. Russo, Sergey Kalachikov, Ken Shepard, Jacob Karl Rosenstein