AI Leukemia Cell Analysis Using Diffracted Light Optics

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Solution Overview

Problem

Conventional blood cell counting tests are ineffective in detecting leukemia cells in early stages of Chronic Myeloid Leukemia (CML), making early detection challenging.

Innovation Solution

A specimen analysis apparatus and method using a diffractive optical element to acquire optical information of cells and an artificial intelligence algorithm for analysis, enabling early detection of leukemia cells.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional blood cell counting tests are used to detect CML, then the testing method is simple and widely available, but early-stage CML patients cannot be detected because blood cell count abnormalities have not yet appeared

Engineering Contradiction:

Improvedetection capability for early-stage CMLVSAvoidcomplexity of analysis system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an artificial intelligence algorithm as an intermediary between the optical measurement system and the diagnostic decision. The AI algorithm processes the optical information from cells irradiated by diffracted light, enabling detection of subtle morphological changes in leukemia cells that are not visible through conventional blood cell counting. This intermediary layer allows the system to achieve high detection precision for early-stage CML without requiring complex manual analysis procedures

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical/manual blood cell counting method with an optical measurement system using diffracted light and automated AI analysis. Instead of relying on physical cell counting and manual microscopy, the system uses light diffraction patterns and machine learning algorithms to automatically identify leukemia cells, thereby improving detection capability while maintaining operational simplicity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If blood cell counting tests are used for CML screening, then the screening process is quick and easy, but it fails to identify leukemia cells in early stages before blood cell count abnormalities occur

Engineering Contradiction:

Improveaccuracy of leukemia cell identificationVSAvoiddifficulty in detecting early-stage leukemia cells

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent changes the measurement parameters from conventional blood cell count metrics to optical properties of cells under diffracted light illumination. By analyzing how cells interact with diffracted light patterns and using AI to interpret these optical signatures, the system can detect subtle morphological and optical parameter changes in leukemia cells that occur before blood cell count abnormalities manifest, thereby improving reliability for early-stage detection

Inventive Principle:

Principle #35Parameter changes

3Loss of time

If conventional diagnostic methods based on blood cell count abnormalities are used, then the diagnostic approach is straightforward, but it cannot screen patients in the early stage of onset

Engineering Contradiction:

Improvetime for early detectionVSAvoidprecision of leukemia cell detection

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The patent performs preliminary detection of leukemia cells by analyzing optical properties before blood cell count abnormalities develop. The optical measurement system with diffracted light and AI analysis is applied early in the disease process, identifying leukemia cells at a stage when conventional methods would still show normal blood cell counts. This preliminary action enables earlier intervention while maintaining high detection precision through advanced optical and computational methods

Inventive Principle:

Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables early detection of CML by accurately identifying leukemia cells through optical information analysis, facilitating timely intervention.

Implementation Method 1

acquire optical information of cells contained in a specimen by irradiating the cells with a plurality of diffracted lights generated by causing light to be incident on a diffractive optical element

Methodology Applied

Scientific EffectDiffraction: Diffraction

Data Source

PatentUS20260079152A1Sample analyzer, sample analysis method, and method

Publication Date: 2026.03.19 SYSMEX CORP

AI summary

Disclosed is a specimen analysis apparatus comprising: a measurement unit configured to acquire optical information of cells contained in a specimen by irradiating the cells with a plurality of diffracted lights generated by causing light to be incident on a diffractive optical element; and an analysis unit configured to analyze the optical information obtained by the measurement unit using an artificial intelligence algorithm to acquire first information on leukemic cells contained in the specimen.