17532583. UNBIASED SORTING AND SEQUENCING OF OBJECTS VIA RANDOMIZED GATING SCHEMES simplified abstract (Microsoft Technology Licensing, LLC)

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UNBIASED SORTING AND SEQUENCING OF OBJECTS VIA RANDOMIZED GATING SCHEMES

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Brian Loeber Trippe of Cambridge MA (US)

Lorin Anthony Crawford of Boston MA (US)

Kevin Kaichuang Yang of Cambridge MA (US)

Nicholas Bhattacharya of Berkeley CA (US)

UNBIASED SORTING AND SEQUENCING OF OBJECTS VIA RANDOMIZED GATING SCHEMES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17532583 titled 'UNBIASED SORTING AND SEQUENCING OF OBJECTS VIA RANDOMIZED GATING SCHEMES

Simplified Explanation

Systems and methods are provided for sorting cells with distinct cell designs for characterizing a library of the cell designs. The present disclosure uses randomized sorting rules associated with bins and pseudo-random numbers to count the cells with measured fluorescence values in one of the bins. A mean fluorescence value for a cell design group may be determined based on a ratio of cell counts of the cells associated with the cell design group across the bins. Unlike traditional histogram-based sorting that uses a mean fluorescence value of a bin, the disclosed technology determines mean fluorescence values of cell design groups for characterizing libraries of the cell design group. Use of the mean fluorescence values with unbiased "sort-seq" and a de-multiplexed sequencing using the mean fluorescence values enables characterizing libraries of cell designs with improved accuracy over traditional use of discrete histograms.

  • The technology provides systems and methods for sorting cells with distinct cell designs.
  • Randomized sorting rules associated with bins and pseudo-random numbers are used to count cells with measured fluorescence values in one of the bins.
  • Mean fluorescence values for cell design groups are determined based on ratios of cell counts across the bins.
  • The technology enables characterizing libraries of cell designs with improved accuracy compared to traditional histogram-based sorting.
  • Unbiased "sort-seq" and de-multiplexed sequencing using mean fluorescence values are utilized for characterizing libraries of cell designs.

Potential Applications

  • Cell sorting and characterization in biological research and development.
  • High-throughput screening of cell libraries for drug discovery.
  • Analysis of genetic variations in cell populations.
  • Sorting and characterization of cells for diagnostic purposes.

Problems Solved

  • Traditional histogram-based sorting methods may not accurately characterize libraries of cell designs.
  • Mean fluorescence values of cell design groups provide a more accurate characterization of cell libraries.
  • Unbiased "sort-seq" and de-multiplexed sequencing using mean fluorescence values improve the accuracy of characterizing cell libraries.

Benefits

  • Improved accuracy in characterizing libraries of cell designs.
  • More efficient and reliable cell sorting and characterization.
  • Enables high-throughput screening of cell libraries for various applications.
  • Facilitates analysis of genetic variations in cell populations.
  • Enhances diagnostic capabilities through sorting and characterization of cells.


Original Abstract Submitted

Systems and methods are provided for sorting cells with distinct cell designs for characterizing a library of the cell designs. The present disclosure uses randomized sorting rules associated with bins and pseudo-random numbers to counts the cells with measured fluorescence values in one of the bins. A mean fluorescence value for a cell design group may be determined based on a ratio of cell counts of the cells associated with the cell design group across the bins. Unlike the traditional histogram-based sorting that use a mean fluorescence value of a bin, the disclosed technology determines mean fluorescence values of cell design groups for characterizing libraries of the cell design group. Use of the mean fluorescence values with unbiased “sort-seq” and a de-multiplexed sequencing using the mean fluorescence values enables characterizing libraries of cell designs with improved accuracy over traditional use of discrete histograms.

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