Abstract:
The subject matter of the present disclosure generally relates to techniques for following a treatment protocol having one or more treatment parameters to cause a targeted physiological outcome at a distal site, assessing an expression level of a gene in a region of interest after completing the treatment protocol, and modifying the one or more treatment parameters based on the expression level of the gene. The treatment protocol may include one or more ultrasound energy treatments to the region of interest.
Abstract:
The present disclosure relates to characterization of biological samples. By way of example, a biological sample may be contacted with a plurality of probes specific for targets in the sample, such as probes for immune markers and segmenting probes. Acquired image data of the sample may be used to segment the images into epithelial and stromal regions to characterize individual cells in the sample based on the binding of the probes. Further, the biological sample may be characterized by a heterogeneity of the characterized cells.
Abstract:
Dynamic linking of pathway maps and cell maps is disclosed in certain embodiments. In such embodiments, the pathway maps are linked to spatially-localized regional nucleic acid data (e.g., sequence data), as opposed to non-spatially selected nucleic acid data. The pathway map and cell map data may be linked so that interactions results in changes or updates to the linked map, such as the selection or highlighting of cells exhibiting pathway map characteristics specified by a user of updating of node values or states to correspond to that of a cell or cells selected by the user.
Abstract:
The quantitative evaluation of biomarker-probe activity is disclosed. In certain embodiments, the biomarker-probe activity may be quantified and analyzed using biodistributions generated using a model. In some embodiments, such biodistributions may be used to generate simulated images from which quantitative thresholds may be derived. In some embodiments, the quantitative thresholds may be used to analyze the biodistributions.