Spectrally Selective Scanning Microscopy Using Segmented Detector
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Solution Overview
Problem
Existing high-resolution microscopy techniques, such as Airyscan microscopy, require multiple detectors and complex adjustments to achieve spectral and spatial resolution, leading to increased costs and complexity, while maintaining spatial resolution is challenging when incorporating spectral information.
Innovation Solution
A method and microscope design that utilize a single spectrometer channel for spectral evaluation and multiple non-spectrally resolving detector channels, allowing for high-resolution imaging without additional detector adjustments, by guiding fluorescent radiation to a spectrometer in one channel and intensity-capturing detector elements in others, maintaining spatial resolution and obtaining spectral information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple detectors are used for spectral evaluation in high-resolution microscopy, then spectral information can be obtained, but device complexity and cost increase
Solution Approach 1:
The detector is divided into multiple location channels (at least 16 channels) arranged in a specific pattern. Each location channel captures a portion of the diffraction image, and together they provide both spatial resolution and spectral information when combined through computational processing. This segmentation allows a single detector to replace multiple detectors while maintaining spectral evaluation capability.
Solution Approach 2:
The patent transitions from using multiple separate detectors in different spectral channels to using a single detector with multiple spatially arranged location channels. By adding the spatial dimension of channel arrangement and combining it with spectral processing algorithms, the system achieves spectral information from a single detector plane, effectively moving the problem from the spectral dimension to the spatial-computational dimension.
2Measurement precision
If multiple detectors with spectral evaluation are implemented, then spectral resolution is achieved, but adjustment complexity increases
Solution Approach 1:
The system uses computational processing to automatically combine signals from multiple location channels to extract spectral information. The evaluation device performs the spectral analysis and image reconstruction algorithms automatically, eliminating the need for manual detector adjustments. The system self-calibrates through the fixed geometric arrangement of location channels and computational processing.
3Measurement precision
If spatial resolution is maintained while adding spectral evaluation, then imaging quality is preserved, but system complexity increases
Solution Approach 1:
The single detector with multiple location channels serves dual functions: it maintains spatial resolution by capturing the diffraction image structure and simultaneously provides spectral information through the combined signal processing of all location channels. This multi-functionality eliminates the need for separate spectral detectors while preserving imaging quality.
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 maintains the spatial resolution of Airyscan microscopy while providing spectral image information, enabling quick generation of high-resolution color images with reduced computational and structural complexity, and allows for further image reconstruction with increased accuracy.
Implementation Method 1
The sample is excited from illumination radiation to emit fluorescent radiation
Implementation Method 2
The illumination spot is diffraction-limited in at least one spatial direction
Implementation Method 3
the optical unit focuses the illumination radiation at a point in the focal plane to form an illumination spot
Implementation Method 4
fluorescent radiation coming from the illumination spot is imaged, in a diffraction-limited manner, into a diffraction image
Data Source
AI summary
In a high-resolution spectrally selective scanning microscopy of a sample, the sample is excited with illumination radiation in order to emit fluorescence radiation such that the illumination radiation is bundled into an illumination spot in or on the sample. The illumination spot is diffraction-limited in at least one spatial direction and has a minimum extension in said spatial direction. Fluorescence radiation emitted from the illumination spot is imaged into a diffraction image lying on an image plane in a diffraction-limited manner and is detected with a spatial resolution which resolves a structure of a diffraction image of the fluorescence radiation emitted from the illumination spot. The illumination spot is moved into different scanning positions. An individual image is generated for each scanning position, in a diffraction-limited manner onto a detector. The local channels determine the spatial resolution with which the structure of the diffraction image of the fluorescence radiation emitted from the illumination spot is resolved, and the fluorescence radiation emitted from the illumination spot is spectrally evaluated.