Multispectral Microscopy for Chromogen Differentiation in Histology
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing microscopy techniques face challenges in accurately differentiating between stained features due to limited color perception, especially with chromogens and fluorophores near the optical resolution limit, leading to inconsistent scoring and limited assay multiplexing.
Innovation Solution
An imaging system that combines a microscope with a multi-spectral imaging apparatus, using pulsed LEDs for illumination and digital processing to enhance color contrast and reclassify spectral characteristics, allowing for real-time digital enhancement and false color composite imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional bright field microscopy is used for viewing chromogenic stains, then the microscope structure remains simple, but color differentiation between chromogens becomes difficult due to broad spectral absorption and overlapping spectra
Solution Approach 1:
The illumination spectrum is segmented into multiple narrow bands using discrete LED wavelengths (e.g., 450nm, 480nm, 530nm, 630nm) instead of continuous white light. This allows selective excitation of specific chromogens while minimizing spectral overlap, enabling clear differentiation between multiple stains without requiring complex filter systems
Solution Approach 2:
The system changes the illumination parameters by using multiple discrete wavelengths with controlled spectral characteristics. Each LED wavelength can be independently adjusted and combined in varying intensities to optimize visualization of different chromogens, transforming the qualitative color perception problem into a controllable parameter adjustment problem
2Adaptability or versatility
If multiple chromogens with different colors are used for multiplexing, then assay multiplexing capability increases, but visual perception and differentiation of colors becomes more difficult
Solution Approach 1:
The spectral detection is segmented into discrete wavelength channels that correspond to specific chromogen absorption characteristics. By assigning specific LED wavelengths to detect specific chromogens (e.g., blue light for blue chromogen, red light for red chromogen), the system achieves clear separation of multiple signals without visual interference
Solution Approach 2:
The system introduces digital image processing as an intermediary between optical detection and human perception. Spectral unmixing algorithms process the multi-wavelength images to calculate optimal false-color representations, translating complex spectral data into visually distinct color channels that enhance differentiation
3Measurement precision
If fluorescent labels are used for detection, then detection sensitivity improves, but color perception varies between observers and scoring consistency decreases
Solution Approach 1:
The system creates digital copies of the specimen images at multiple wavelengths and processes them through computational algorithms to generate standardized false-color representations. This digital copying and processing approach eliminates subjective color perception variations among observers while maintaining high detection sensitivity through quantitative spectral analysis
Solution Approach 2:
The system transforms the detection parameters from qualitative color perception to quantitative spectral measurements. By measuring absorbance at specific wavelengths and using these numerical values for scoring, the system achieves objective, reproducible results that are consistent across different observers and laboratories
4Difficulty of detecting and measuring
If chromogens with narrow band absorbers are used, then spectral overlap is reduced, but yellow and cyan chromogens still exhibit low visual contrast due to absorption at spectral edges
Solution Approach 1:
The illumination spectrum is segmented to include specific wavelengths that correspond to the peak absorption regions of problematic chromogens like yellow and cyan. By illuminating at wavelengths where these chromogens absorb most strongly (rather than at spectral edges), the system maximizes their signal intensity and visual contrast while maintaining spectral separation
Solution Approach 2:
The system changes the illumination intensity distribution across different wavelengths to compensate for chromogen absorption characteristics. By increasing illumination intensity at wavelengths where certain chromogens have lower absorption (such as yellow and cyan), the system balances the overall signal strength and enhances visual contrast across all chromogen types
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
Enhances visual differentiation of stained features, improving accuracy and consistency in scoring, and increasing multiplexing capability beyond traditional bright field microscopy.
Implementation Method 1
The imaging apparatus includes an energy emitter in the form of an illuminator having a plurality of different color light sources
Implementation Method 2
chromogens may have relatively broad spectra... spectra overlap between different chromogens
Implementation Method 3
In fluorescence detection, fluorescent labels may not be equally detected by different observers due to the fluorescent label emissions being on the fringes or outside of the visual spectrum
Data Source
AI summary
Disclosed herein are embodiments of imaging biological specimens. An imaging system can include a microscope for directly viewing the biological specimen and a multi-spectral imaging apparatus for outputting digitally enhanced images, near-video rate imaging, and/or videos of the specimen. An imaging system can include a digital scanner that digitally processes images to produce a composite image with enhanced color contrast of features of interest.