Spectral Unmixing for Cell Compartment Identification
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Solution Overview
Problem
Conventional methods for identifying sub-cellular regions in biological samples, such as nuclei and cytoplasm, often require counterstains with well-separated spectral profiles, limiting the availability of the visual spectrum for immunofluorescent probes and reducing the number of probes that can be used, which in turn affects accuracy and the range of protein detection.
Innovation Solution
The use of counterstains with similar spectral absorption and emission profiles, such as DAPI and CellMask Blue, allows for the identification of nuclear and cytoplasm regions without spectral interference, enabling the use of a larger number of immunofluorescent probes and providing context information similar to H&E staining through spectral unmixing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If counterstains with well-separated spectral profiles are used to identify sub-cellular regions, then spectral interference is avoided, but the number of immunofluorescent probes that can be used is reduced
Solution Approach 1:
The patent transitions from 2D spatial imaging to 3D spectral-spatial imaging by capturing images at multiple wavelengths. This dimensional expansion allows spectral unmixing to separate overlapping emissions, enabling the use of counterstains with similar spectral profiles while maintaining the ability to distinguish nuclear and cytoplasmic regions and use multiple immunofluorescent probes simultaneously
Solution Approach 2:
The patent introduces spectral unmixing algorithms as an intermediary computational step between image capture and analysis. This intermediary process mathematically separates the contributions of different stains with similar spectral profiles, allowing DAPI and CellMask Blue to be used together without spectral interference, thereby enabling the use of more immunofluorescent probes
2Adaptability or versatility
If multiple immunofluorescent probes are applied to a single sample, then protein detection capability is enhanced, but optical cross-talk and antibody interaction increase
Solution Approach 1:
By capturing images at multiple wavelengths across the spectrum, the system creates a spectral dimension that allows differentiation of probes with overlapping spatial distributions. This enables accurate quantification of multiple proteins even when their emission spectra overlap, maintaining measurement accuracy while enhancing protein detection capability
Solution Approach 2:
The patent changes the spectral parameters of the imaging system by capturing data at multiple wavelengths rather than single wavelength channels. This parameter change allows the system to resolve spectral overlaps between probes and counterstains, maintaining reliability while enabling the use of multiple immunofluorescent probes with enhanced protein detection capability
3Adaptability or versatility
If counterstains with similar spectral profiles are used, then more immunofluorescent probes can be used, but spectral cross-talk increases
Solution Approach 1:
Spectral unmixing algorithms serve as an intermediary computational layer that mathematically separates the spectral contributions of different stains. This intermediary process eliminates spectral cross-talk by calculating the unique contribution of each stain at every pixel, allowing the use of counterstains with similar spectral profiles like DAPI and CellMask Blue without interference
Solution Approach 2:
The patent replaces physical spectral separation (using stains with well-separated emission spectra) with computational spectral separation (using unmixing algorithms). This substitution allows the use of stains with overlapping spectral profiles by removing spectral cross-talk through mathematical processing rather than physical filtering
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 the reliability of protein measurements by reducing spectral cross-talk, increasing the number of proteins that can be detected, and providing valuable cytoplasm information that would otherwise be absent, while maintaining the complexity of experiments.
Implementation Method 1
counterstains with similar spectral absorption and emission profiles
Implementation Method 2
DAPI is a fluorescent counterstain that binds to DNA molecules... The sample is excited with light of one wavelength... and the sample emits light in the violet region of the spectrum
Data Source
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AI summary
The disclosure features methods and systems (100) that include a detector (112) configured to obtain multiple images of a sample (108) stained with first and second stains, preferably CellMask™ Blue and Hoechst/DAPI, where the first and second stains have similar spectral absorption and emission profiles, and an electronic processor (116) configured to decompose the multiple images into an unmixed image set, where the unmixed image set includes a first unmixed image corresponding to the first stain and a second unmixed image corresponding to the second stain, and identify nuclear regions in the sample (108) based on the first unmixed image and identify cytoplasm regions in the sample (108) based on the second unmixed image.