20240029266. CHARACTERIZATION PLATFORM FOR SCALABLE, SPATIALLY-RESOLVED MULTISPECTRAL ANALYSIS OF TISSUE simplified abstract (THE JOHNS HOPKINS UNIVERSITY)
Contents
CHARACTERIZATION PLATFORM FOR SCALABLE, SPATIALLY-RESOLVED MULTISPECTRAL ANALYSIS OF TISSUE
Organization Name
Inventor(s)
Janis Marie Taube of Baltimore MD (US)
Sandor Szalay of Baltimore MD (US)
CHARACTERIZATION PLATFORM FOR SCALABLE, SPATIALLY-RESOLVED MULTISPECTRAL ANALYSIS OF TISSUE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240029266 titled 'CHARACTERIZATION PLATFORM FOR SCALABLE, SPATIALLY-RESOLVED MULTISPECTRAL ANALYSIS OF TISSUE
Simplified Explanation
The patent application describes a device that can capture images of tissue samples and apply corrections to enhance the quality of the images. The device can identify specific areas within the images that contain useful data for characterizing cells or subcellular components. It can also identify overlapping areas between images and derive information about the spatial mapping of cells and subcellular components within the tissue sample. This information can be loaded into a data structure for statistical analysis, which can help identify factors defining normal tissue structure, inflammatory or neoplastic diseases, prognoses, and potential therapeutics.
- The device captures field images of tissue samples.
- Spatial distortion and illumination-based corrections are applied to the images.
- Corrections for photobleaching of reagents are also applied.
- Processed field images are derived from the corrections.
- The device identifies primary areas within the processed field images that contain useful data for cell or subcellular component characterization.
- Overlapping areas between processed field images are identified.
- Information about the spatial mapping of cells and subcellular components is derived.
- Segmentation is performed based on the data in the primary areas of each processed field image.
- Flux measurements are obtained based on the data in the overlapping areas.
- The information is loaded into a data structure for statistical analysis.
- The spatial mapping can help identify factors defining normal tissue structure, inflammatory or neoplastic diseases, prognoses, and potential therapeutics.
Potential Applications:
- Medical research and diagnostics
- Drug discovery and development
- Precision medicine
- Cancer detection and treatment
Problems Solved:
- Enhances the quality of tissue sample images
- Enables characterization of cells and subcellular components
- Provides spatial mapping information for statistical analysis
- Helps identify factors defining normal tissue structure and diseases
Benefits:
- Improved accuracy and efficiency in tissue analysis
- Enhanced understanding of cellular and subcellular structures
- Enables personalized treatment approaches
- Facilitates the development of targeted therapeutics
Original Abstract Submitted
a device may obtain field images of a tissue sample, apply, to the field images, spatial distortion and illumination-based corrections (including corrections for photobleaching of reagents) to derive processed field images, identify, in each processed field image, a primary area including data useful for cell or subcellular component characterization, identify, in the processed field images, areas that overlap with one another, and derive information regarding a spatial mapping of cell(s) and/or sub-cellular components of the tissue sample. deriving the information may include performing segmentation based on the data included in the primary area of each processed field image, and obtaining flux measurements based on other data included in the overlapping areas. the device may cause the information to be loaded in a data structure to enable statistical analysis of the spatial mapping for identifying factors defining normal tissue structure, associated inflammatory or neoplastic diseases and prognoses thereof, and associated therapeutics.
