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Neil Ira Weisenfeld

from Lynnfield, MA
Age ~55

Neil Weisenfeld Phones & Addresses

  • 12 Hunting Ln, Lynnfield, MA 01940 (617) 629-4691
  • North Reading, MA
  • 5 Ellis St, Woburn, MA 01801 (781) 305-3511
  • Cambridge, MA
  • 9 Winter St, Arlington, MA 02474 (781) 646-0685
  • 131 Massachusetts Ave, Arlington, MA 02474 (781) 488-3384
  • Somerville, MA
  • Hoboken, NJ
  • Philadelphia, PA

Publications

Us Patents

Systems And Methods For Identifying Morphological Patterns In Tissue Samples

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US Patent:
20230081613, Mar 16, 2023
Filed:
Oct 18, 2022
Appl. No.:
18/047620
Inventors:
- Pleasanton CA, US
Jasper STAAB - Honolulu HI, US
Kevin J. WU - San Francisco CA, US
Neil Ira WEISENFELD - Lynnfield MA, US
Florian BAUMGARTNER - , US
Brynn CLAYPOOLE - San Francisco CA, US
International Classification:
G06T 7/00
G16B 15/00
G01N 1/30
Abstract:
A discrete attribute value dataset is obtained that is associated with a plurality of probe spots each assigned a different probe spot barcode. The dataset comprises spatial projections, each comprising images of a biological sample. Each image includes a corresponding plurality of discrete attribute values for the probe spots. Each such value is associated with a probe spot in the plurality of probes spots based on the probe spot barcodes. The dataset is clustered using the discrete attribute values, or dimension reduction components thereof, for a plurality of loci at each respective probe spot across the images of the projections thereby assigning each probe spot to a cluster in a plurality of clusters. Morphological patterns are identified from the spatial arrangement of the probe spots in the various clusters.

Pipeline For Spatial Analysis Of Analytes

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US Patent:
20210155982, May 27, 2021
Filed:
Nov 18, 2020
Appl. No.:
16/951864
Inventors:
- Pleasanton CA, US
Zachary Bent - Pleasanton CA, US
Stephen Williams - Dublin CA, US
Ian Fiddes - San Francisco CA, US
Jeffrey Clark Mellen - Martinez CA, US
Jasper Staab - Honolulu HI, US
Kevin J. Wu - San Francisco CA, US
Neil Ira Weisenfeld - Lynnfield MA, US
Florian Baumgartner - Stockholm, SE
Brynn Claypoole - Pleasanton CA, US
Preyas Shah - Pleasanton CA, US
Erik Leonard Henrik Borgstrom - Stockholm, SE
Benjamin McCreath - Pleasanton CA, US
International Classification:
C12Q 1/6869
C12Q 1/6837
G06T 7/194
G06T 7/13
G06T 7/00
G06N 5/00
Abstract:
Systems and methods for spatial analysis of analytes include placing a sample on a substrate having fiducial markers and capture spots. Then, an image of the sample is acquired and sequence reads are obtained from the capture spots. Each capture probe plurality in a set of capture probe pluralities is (i) at a different capture spot, (ii) directly or indirectly associates with analytes from the sample and (iii) has a unique spatial barcode. The sequencing reads serve to detect the analytes. Sequencing reads include a spatial barcode of the corresponding capture probe plurality. Spatial barcodes localize reads to corresponding capture spots, thereby dividing them into subsets, each subset for a respective capture spot. Fiducial markers facilitate a composite representation comprising (i) the image aligned to the capture spots and (ii) a representation of each subset of sequence reads at respective positions within the image mapping to the corresponding capture spots.

Systems And Methods For Identifying Morphological Patterns In Tissue Samples

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US Patent:
20210097684, Apr 1, 2021
Filed:
Sep 30, 2020
Appl. No.:
17/039935
Inventors:
- Pleasanton CA, US
Jasper STAAB - Honolulu HI, US
Kevin J. WU - San Francisco CA, US
Neil Ira WEISENFELD - Lynnfield MA, US
Florian BAUMGARTNER - Stockholm, SE
Brynn CLAYPOOLE - San Francisco CA, US
International Classification:
G06T 7/00
G16B 15/00
G01N 1/30
Abstract:
A discrete attribute value dataset is obtained that is associated with a plurality of probe spots each assigned a different probe spot barcode. The dataset comprises spatial projections, each comprising images of a biological sample. Each image includes a corresponding plurality of discrete attribute values for the probe spots. Each such value is associated with a probe spot in the plurality of probes spots based on the probe spot barcodes. The dataset is clustered using the discrete attribute values, or dimension reduction components thereof, for a plurality of loci at each respective probe spot across the images of the projections thereby assigning each probe spot to a cluster in a plurality of clusters. Morphological patterns are identified from the spatial arrangement of the probe spots in the various clusters.

Systems, Methods, And Media For De Novo Assembly Of Whole Genome Sequence Data

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US Patent:
20170235876, Aug 17, 2017
Filed:
Aug 19, 2016
Appl. No.:
15/242256
Inventors:
- Pleasanton CA, US
Patrick Marks - San Francisco CA, US
Neil Weisenfeld - North Reading MA, US
International Classification:
G06F 19/22
Abstract:
Described are computer-implemented methods, systems, and media for de novo phased diploid assembly of nucleic acid sequence data generated from a nucleic acid sample of an individual utilizing nucleic acid tags to preserve long-range sequence context for the individual such that a subset of short-read sequence data derived from a common starting sequence shares a common tag. The phased diploid assembly is achieved without alignment to a reference sequence derived from organisms other than the individual. The methods, systems, and media described are computer-resource efficient, allowing scale-up.
Neil Ira Weisenfeld from Lynnfield, MA, age ~55 Get Report