Dynamic Leukocyte Concentration Control for Reliable Blood Imaging

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current automated methods for analyzing body fluids, such as blood, face challenges in reliably counting and differentiating cells, especially leukocytes, due to variations in concentration and the need for human verification to avoid 'black box' operations.

Innovation Solution

The method involves acquiring the concentration of elements of interest in a body fluid sample, followed by an adjustment dilution to optimize the concentration of a test solution, which is then imaged using an imaging device. This process ensures that the test solution is adjusted based on the initial sample concentration, allowing for reliable visual measurements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated optical measurement methods are used for high-speed analysis, then analysis speed is improved, but verification reliability deteriorates due to black box operation

Engineering Contradiction:
Improveanalysis speedVSAvoidverification reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent creates visual copies (microscopic images) of the biological sample that preserve morphological information while enabling automated analysis. These images serve as verifiable records that maintain reliability while improving analysis speed, resolving the contradiction between automated efficiency and verification trustworthiness

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent transforms the measurement parameters from purely optical/numerical data to visual image data with preserved morphological characteristics. This parameter change allows automated systems to work with visually verifiable information, maintaining reliability while achieving high-speed automated processing

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If concentration of elements of interest is too high, then statistical power is improved, but image quality deteriorates due to superimposition

Engineering Contradiction:
Improvestatistical powerVSAvoidimage quality
Core Design Contradiction:
Measurement precisionVSManufacturing precision

Solution Approach 1:

The patent implements dynamic adjustment of the concentration parameter through automated dilution based on initial concentration measurement. This dynamic adaptation optimizes both statistical power and image quality by finding the optimal concentration range that prevents superimposition while maintaining sufficient sample size for accurate analysis

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent uses feedback from initial concentration measurement to control the dilution process. The measured concentration informs the dilution factor, creating a closed-loop system that automatically optimizes image quality and statistical power, resolving the contradiction between these two parameters

Inventive Principle:
Principle #23Feedback

3Manufacturing precision

If concentration of elements of interest is too low, then image quality is improved, but statistical power deteriorates

Engineering Contradiction:
Improveimage qualityVSAvoidstatistical power
Core Design Contradiction:
Manufacturing precisionVSMeasurement precision

Solution Approach 1:

The patent uses feedback from initial concentration measurement to control the dilution process. When concentration is low, the system adjusts the dilution factor accordingly to optimize the final concentration for imaging, ensuring sufficient statistical power while maintaining image quality

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent implements dynamic adjustment of concentration through automated dilution. Rather than using a fixed dilution protocol, the system adapts the dilution factor based on the measured initial concentration, optimizing both statistical power and image quality for each sample

Inventive Principle:
Principle #15Dynamics

4Reliability

If human visual analysis is used for verification, then reliability is improved, but analysis speed deteriorates

Engineering Contradiction:
Improveverification reliabilityVSAvoidanalysis speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent creates visual image copies that preserve all necessary morphological information, allowing automated systems to perform verification at high speed while maintaining the reliability benefits of visual analysis. The images serve as faithful representations that enable both human and machine verification

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces manual human visual analysis with automated image analysis systems that process visual data. This substitution maintains verification reliability through algorithmic analysis while dramatically improving analysis speed, resolving the contradiction between these two parameters

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12287273B2Method for optimising the concentration of elements of interest for visual measurement on a biological sample
Publication Date: 2025.04.29 ERBA DIAGNOSTICS LTD
  • US12287273B2 patent drawing
  • US12287273B2 patent drawing
  • US12287273B2 patent drawing

AI summary

The invention relates to a method for imaging a body fluid sample for visual measurements relating to leukocytes, which comprises: —obtaining a measured concentration (WIC) of leukocytes in the sample; —diluting (330) a test solution obtained from the sample, with a dilution ratio (D) determined in accordance with the measured concentration of leukocytes in the sample, so as to obtain an optimum concentration of leukocytes; —rotating (400) the optical chamber containing the test solution by a centrifugation unit, so as to align the leukocytes of the test solution on an optical plane, wherein the optimum concentration of leukocytes for the test solution corresponds to a target surface density of between 20 and 1000 leukocytes per square millimetre on the optical plane; and—imaging (500) the test solution.