Kinetic Microplate Analysis With Time-Sequential Visual Matrices

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Solution Overview

Problem

Interpreting the behavior of individual samples in larger microplates, especially in kinetic assays, is difficult due to the large amount of data and limited display space, making it challenging to reliably analyze and interpret results.

Innovation Solution

A method that measures electromagnetic radiation from samples repeatedly at predetermined intervals, forming a result matrix with cells corresponding to sample receptacles, using measurement values to determine visual properties and display results as consecutive matrices, allowing for improved interpretation of kinetic assay results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If kinetic assays are performed on large microplates with many wells, then a large amount of data can be gathered, but the behavior of individual samples becomes difficult to interpret

Engineering Contradiction:
Improvenumber of samplesVSAvoidinterpretability of results
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

The patent divides the large dataset from kinetic assays into individual sample representations that can be visually distinguished. Each sample's kinetic data is segmented into discrete visual elements (colors, intensities) that can be individually interpreted, allowing researchers to maintain overview of all samples while preserving interpretability of individual behaviors.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transforms kinetic assay data from a tabular format into a visual matrix where samples are represented spatially. By mapping kinetic parameters to visual dimensions (color intensity, hue, brightness), the system adds perceptual dimensions that enable simultaneous interpretation of multiple samples' behaviors without losing individual sample information.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If measurements are repeated at predetermined time intervals to gather kinetic data, then comprehensive sample behavior data is obtained, but the complexity of analyzing and displaying results increases

Engineering Contradiction:
Improvecompleteness of kinetic dataVSAvoiddata processing and display complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent uses color changes to represent kinetic data variations over time. Different colors or color intensities encode different kinetic parameters or time points, allowing comprehensive kinetic information to be displayed in a visually intuitive format that reduces processing complexity while maintaining data completeness and reliability.

Inventive Principle:
Principle #32Color changes

3Ease of operation

If visual properties of result matrix cells are determined using measurement values, then results can be displayed more intuitively, but the precision of quantitative analysis may be reduced

Engineering Contradiction:
Improveease of result interpretationVSAvoidquantitative accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent creates visual copies of measurement data where the visual properties (color, intensity) are derived from but distinct from the raw numerical values. This copying approach preserves the quantitative information in the underlying data while providing an intuitive visual representation, allowing users to interpret results easily without sacrificing measurement precision since the visual properties are systematically mapped to quantitative values.

Inventive Principle:
Principle #26Copying

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 reliable and efficient interpretation of large datasets from microplates with many wells by presenting results as visual matrices, facilitating quick detection of reliable outcomes and enabling real-time monitoring of sample behavior.

Implementation Method 1

Absorbance detection can be used for many different kinds of assays. In absorbance detection, the absorbance (optical density) of a sample is measured using a spectrophotometer.

Methodology Applied
Scientific EffectAbsorbance: Absorption (EM radiation)

Implementation Method 2

Fluorescence is a form of luminescence and based on emission of light (a photon) by a substance that has absorbed light or other electromagnetic radiation. In fluorescence measurements the sample is illuminated with an excitation light absorbed by the sample and light emitted by the sample is measured by a detector.

Methodology Applied
Scientific EffectFluorescence: Fluorescence

Implementation Method 3

In other assays, luminescence emission is created for instance as a result of a chemical reaction in the sample (chemiluminescence).

Methodology Applied
Scientific EffectLuminescence: Luminescence

Data Source

PatentEP3646004B1Method of analyzing samples, analyzing device and computer program
Publication Date: 2025.07.23 LIFE TECH HLDG PTE LTD
  • EP3646004B1 patent drawingFigure 1~2
  • EP3646004B1 patent drawingFigure 3~4
  • EP3646004B1 patent drawingFigure 5a~5b

AI summary

The method of analyzing one or more samples (3) arranged in sample receptacles (2) of a platform (1) that is configured to receive a plurality of separate samples (3) comprises the steps of measuring electromagnetic radiation transmitted or emitted by each sample (3) (201), repeating the measurement a plurality of times at predetermined intervals (202), on the basis of each measurement, forming a result matrix comprising a plurality of cells (23), each cell (23) of the result matrix corresponding to a sample receptacle (2) of the platform (1), wherein a measurement value of each sample (3) is used as an input for determining the visual properties of the respective cell (23) in the result matrix (203), and displaying the results as consecutive matrixes in respect of time (204).