Systems and Methods for High Throughput Single Molecule Tracking in Living Cells
AssigneeEikon Therapeutics, Inc.
InventorsRussell BERMAN, Alec HECKERT, Mason BRETAN, Daniel ANDERSON, Xavier DARZACQ, Fedor ILKOV, Kevin LIN
Life of this patent
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Abstract
Systems and methods for high throughput single molecule tracking in living cells. A sequence of images visualizing movement of molecules is received. Molecules across the images are linked. Using a variational Bayesian optimization algorithm and based on the linking, possible trajectories for each molecule with associated probabilities are generated. Data characterizing the generated possible trajectories with associated probabilities is provided to a consuming application or process.
Claims67
1-21. (canceled)
A method for single molecule tracking comprising:
- receiving a sequence of images visualizing movement of molecules, the sequence of images comprising a first type generated using a first imaging modality and a second type generated using a second, different imaging modality;
- detecting spots within the first type of the sequence of images;
- linking detected spots within the first type of the sequence of images into trajectories using a probabilistic tracking algorithm;
- segmenting the second type of the sequence of images to generate a plurality of instance masks;
- assigning molecules within the second type of the sequence of images to at least one instance mask of the plurality of instance masks;
- and
- providing data characterizing the linking and assigning to a consuming application or process.
A system comprising:
- at least one data processor;
- and
- memory storing instructions, which when executed by at least one data processor, result in operations for implementing a method for single molecule tracking comprising:
- receiving a sequence of images visualizing movement of molecules, the sequence of images comprising a first type generated using a first imaging modality and a second type generated using a second, different imaging modality;
- detecting spots within the first type of the sequence of images;
- linking detected spots within the first type of the sequence of images into trajectories using a probabilistic tracking algorithm;
- segmenting the second type of the sequence of images to generate a plurality of instance masks;
- assigning molecules within the second type of the sequence of images to at least one instance mask of the plurality of instance masks;
- and
- providing data characterizing the linking and assigning to a consuming application or process.
87-92. (canceled)
Dependencies are inferred from the claim text.