Imaging Spectropolarimeter with Three-Camera System for Tissue Diagnostics

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Solution Overview

Problem

Current spectropolarimetric imaging methods for tissue diagnostics are limited by slow data acquisition, sensitivity to noise, and difficulty in interpreting Mueller matrix images, which hinders the detection of subtle polarization signals and provides limited contrast and resolution, especially in thick tissues and endoscopic procedures.

Innovation Solution

A three-camera system with polarized light sources and beam splitters, utilizing a polarizer-compensator-analyzer configuration to collect intensity images at 0°, 45°, and 90° angles, allowing for simultaneous computation of ellipsometric parameters Psi and Delta with improved sensitivity and reduced noise, enabling faster and more accurate imaging.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional spectropolarimetric imaging methods are used, then polarization information can be obtained, but data acquisition is slow and sensitivity to noise is poor

Engineering Contradiction:
Improvepolarization signal detection sensitivityVSAvoiddata acquisition speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The imaging system is divided into multiple independent camera units, each capturing a specific polarization angle component simultaneously. This segmentation allows parallel acquisition of multiple polarization states without sequential scanning, thereby increasing data acquisition speed while maintaining detection sensitivity through dedicated optical paths for each polarization component.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from temporal multiplexing (sequential measurement) to spatial multiplexing (simultaneous measurement across multiple cameras). By adding the dimension of parallel detection across multiple camera units, the system achieves both high speed and high sensitivity without compromising either parameter.

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

2Loss of information

If Mueller matrix imaging is used, then comprehensive polarization information is obtained, but image interpretation is difficult and contrast is limited

Engineering Contradiction:
Improvepolarization information completenessVSAvoidimage interpretation difficulty
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The system extracts and measures only the essential polarization parameters (ellipsometric angles Psi and Delta) rather than capturing the complete Mueller matrix. This extraction approach simplifies the output to clinically relevant information while maintaining polarization information completeness, making image interpretation much easier for diagnostic purposes.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of presenting the complex full Mueller matrix and requiring users to interpret it, the system inverts the approach by directly computing and displaying the simplified polarimetric images with extracted parameters. This inversion transforms the complexity from the output to the processing stage, delivering ready-to-interpret images that maintain all necessary polarization information.

Inventive Principle:
Principle #13The other way round (Inversion)

3Manufacturing precision

If conventional imaging systems are used, then basic tissue imaging is possible, but resolution and contrast are insufficient for thick tissues

Engineering Contradiction:
Improveimage resolutionVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

Each camera unit in the system is designed with multi-functionality, serving both as a polarization analyzer and as an imaging sensor. This universal design allows the system to achieve high resolution and contrast for thick tissues through polarimetric imaging while avoiding the need for separate complex components, thereby managing device complexity effectively.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

This approach enhances image resolution and contrast, allowing for real-time, non-invasive tissue diagnostics with improved discrimination between benign and malignant tissues, and facilitates compact, user-friendly devices suitable for endoscopic procedures.

Implementation Method 1

a polarized light source adapted to produce polarized light directed at a target

Methodology Applied
Scientific EffectPolarization: Polarisation

Implementation Method 2

at least two beam splitters adapted to direct a portion of polarized light reflected from the target to each of the first, second and third camera units

Methodology Applied
Scientific EffectReflection: Reflection

Data Source

PatentUS11499870B2Imaging spectropolarimeter
Publication Date: 2022.11.15 BRUKER NANO INC
  • US11499870B2 patent drawing
  • US11499870B2 patent drawing
  • US11499870B2 patent drawing

AI summary

An imaging spectropolarimeter for examining targets with polarized light, the spectropolarimeter including a light source adapted to produce polarized light directed at a target. Embodiments also include a three-camera camera system defining a three-camera camera axis with a first camera unit comprising a first analyzer set at 0°, a lens and a first multi-pixel sensor, a second camera unit comprising a second analyzer set at 45°, a lens and a second multi-pixel sensor, and a third camera unit comprising a third analyzer set at 90°, a lens and a third multi-pixel sensor. At least two beam splitters adapted to direct a portion of polarized light reflected from the target to each of the first, second and third camera units. Preferred systems include a processor adapted to produce polarimetric images of the target utilizing intensity information collected by the multi-pixel sensors.