3D Imaging Alignment With 2D Histology Using Written Reference Patterns

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The challenge in clinical practice is accurately aligning Optical Coherence Tomography (OCT) images with histo-pathological sections at single-cell resolution, as existing methods lack sufficient precision for corresponding 2D and 3D image alignment.

Innovation Solution

A predetermined pattern is written into a 3D sample using an optical beam, providing visible reference features in the 2D image, allowing for precise determination of the corresponding plane in the 3D image, which is then aligned with the 2D histology section.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional alignment methods are used between OCT and histology sections, then the alignment process is simple, but the alignment precision is insufficient for single-cell resolution

Engineering Contradiction:
Improvealignment precisionVSAvoidalignment system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

A predetermined pattern is written into the 3D sample before OCT imaging and histology sectioning. This pattern serves as a reference that persists through both imaging modalities, enabling precise alignment. The pattern is created using photobleaching of fluorescent dye embedded in the tissue, forming visible reference features at known positions that can be detected in both OCT and histology images.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The predetermined pattern acts as an intermediary reference system between OCT and histology imaging modalities. By embedding fluorescent dye in the tissue and creating a pattern through photobleaching, a common reference framework is established that both imaging systems can detect and use for alignment, bridging the gap between the two different imaging techniques.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If a predetermined pattern is written into the 3D sample using photobleaching, then alignment accuracy improves to less than 20 microns, but the process complexity and time increase

Engineering Contradiction:
Improvealignment accuracyVSAvoidpattern writing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The alignment pattern creation is merged with the existing OCT imaging workflow. The same OCT system used for imaging the tissue is also used to write the alignment pattern through photobleaching, eliminating the need for separate equipment or processes. The fluorescent dye is embedded during tissue preparation, and the pattern is created during the OCT scanning process itself, integrating multiple functions into a unified workflow.

Inventive Principle:
Principle #5Merging (Combining)

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 method enables accurate alignment of OCT and histology sections with an unprecedented accuracy of less than 20 microns, facilitating applications such as non-invasive histology-like imaging and combining structural and metabolic information from OCT and histo-chemistry.

Implementation Method 1

the laser power is increased to photobleach a specific pattern/barcode onto the tissue

Methodology Applied
Scientific EffectPhotobleaching: Photo-oxidation

Data Source

PatentUS12361656B2High resolution alignment of 3D imaging with 2D imaging
Publication Date: 2025.07.15 THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
  • US12361656B2 patent drawing
  • US12361656B2 patent drawing
  • US12361656B2 patent drawing

AI summary

Alignment of a 2D image to a corresponding 3D image is provided by writing a pattern into a 3D sample. The pattern is at known positions in the 3D image, and provides visible reference features in the 2D image. This permits accurate determination of the plane in the 3D image that corresponds to the 2D image.