Biologic Fluid Imaging via Spatial Chamber Segmentation

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Solution Overview

Problem

Automated analysis of biologic fluid samples is limited by the need for high-resolution imaging, which generates substantial electronic data and increases processing time, making it inefficient for commercial laboratory applications.

Innovation Solution

A method and apparatus that spatially map a chamber into sub-regions and use a predetermined non-uniform distribution of constituents to selectively apply image techniques based on the presence of statistically significant constituents in each region, reducing the need for extensive data processing by only imaging areas where specific constituents are present.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high resolution imaging is used to analyze biologic fluid samples, then measurement precision is improved, but productivity deteriorates due to substantial electronic data generation and extended processing time

Engineering Contradiction:
Improveimaging resolutionVSAvoidanalysis speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The chamber is spatially mapped and divided into multiple sub-regions, allowing the imaging system to process different areas independently. This segmentation enables selective application of image techniques to specific sub-regions containing constituents of interest, rather than processing the entire chamber at high resolution, thus reducing overall data volume and processing time while maintaining measurement precision where needed.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If high resolution imaging is applied to the entire sample, then measurement precision is improved, but loss of time increases due to extensive data processing requirements

Engineering Contradiction:
Improveimaging resolutionVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

Different image techniques and resolution levels are selectively applied to different sub-regions of the chamber based on the presence and distribution of specific constituents. High resolution imaging is applied only to sub-regions containing target constituents, while other areas receive lower resolution imaging or are skipped entirely. This local differentiation maintains measurement precision for relevant areas while significantly reducing total processing time.

Inventive Principle:
Principle #3Local quality

3Ease of operation

If automated analysis is implemented, then ease of operation is improved, but device complexity increases due to the need for sophisticated imaging and processing systems

Engineering Contradiction:
Improveautomation levelVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The chamber is pre-spatially mapped and the distribution of constituents is predicted before imaging begins. This preliminary action allows the system to pre-determine which sub-regions require high resolution imaging and which can be processed differently, simplifying the real-time decision-making process and reducing the complexity of the imaging system while maintaining high automation levels.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10627390B2Method for imaging biologic fluid samples using a predetermined distribution
Publication Date: 2020.04.21 ABBOTT POINT OF CARE INC
  • US10627390B2 patent drawing
  • US10627390B2 patent drawing
  • US10627390B2 patent drawing

AI summary

A method for analyzing a biologic fluid sample includes the steps of: a) providing a spatially mapped chamber; b) providing a predetermined repeatable non-uniform spatial distribution of one or more constituents within the sample, which distribution indicates the presence or absence of a statistically significant number of constituents within the sample in each chamber sub-region; c) selecting one or more image techniques for each sub-region based on the presence or absence of the statistically significant number of one or more constituents in that sub-region as indicated by the distribution; d) creating image data representative of the biologic fluid sample in each sub-region, using the one or more image techniques selected for that sub-region; and e) analyzing the sample.