Automated Light-Sheet Geometry Adjustment for Focal-Plane Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Light-sheet microscopy struggles with maintaining high spatial resolution and image contrast due to mismatches between the light sheet and detection focal plane, particularly in complex and dynamically changing biological specimens, caused by factors like refractive index variations, spatiotemporal changes in optical properties, and marker distributions.
Innovation Solution
An automated spatiotemporal adaptive system that continuously adjusts light-sheet geometry and detection focal planes in real-time using actuators and a computation framework to optimize imaging parameters, compensating for dynamic optical conditions and maintaining high spatial resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If light-sheet microscopy is used to image complex biological specimens, then imaging capability is enabled, but spatial resolution and image contrast deteriorate due to mismatches between light sheet and detection focal plane
Solution Approach 1:
The patent implements dynamic adjustment of light-sheet geometry and detection focal plane positions using actuators. The system continuously adapts the optical parameters during imaging to maintain optimal alignment between the light sheet and detection focal plane, resolving the contradiction between imaging capability and spatial resolution in complex biological specimens
Solution Approach 2:
The system employs feedback mechanisms where measured properties of the light-sheet imaging are analyzed and used to adjust operating parameters. This closed-loop control ensures that spatial resolution and image contrast are maintained by compensating for mismatches between light sheet and detection focal plane in real-time
2Measurement precision
If light-sheet geometry is adjusted to maintain spatial resolution, then image quality improves, but system complexity increases due to need for continuous measurement and adjustment
Solution Approach 1:
The system performs self-adjustment by automatically measuring its own imaging properties and correcting alignment mismatches without external intervention. The automated feedback loop measures light-sheet properties and adjusts operating parameters independently, improving spatial resolution while managing system complexity through self-regulation
3Measurement precision
If automated adjustment system is implemented to maintain optimal light-sheet geometry, then spatial resolution and signal strength improve two to five-fold, but device complexity and energy consumption increase
Solution Approach 1:
The system achieves improved spatial resolution by dynamically changing operating parameters such as light-sheet geometry and detection focal plane positions. The automated adjustment of these parameters based on measured properties enables two to five-fold improvement in spatial resolution and signal strength while managing the inherent device complexity
4Measurement precision
If continuous measurement and adjustment is performed to adapt to spatiotemporal dynamics, then imaging quality is maintained, but time consumption and energy usage increase
Solution Approach 1:
The system maintains continuous useful action by performing ongoing measurement and adjustment of light-sheet geometry during imaging. This continuous adaptation to spatiotemporal dynamics preserves imaging quality throughout the observation period, managing the trade-off with time consumption through efficient real-time operation
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
The system enhances spatial resolution and signal strength two to five-fold, enabling high-resolution imaging of living specimens by adapting to spatiotemporal dynamics and maintaining high light-efficiency.
Implementation Method 1
recording images of fluorescence emitted along a detection axis from the sample due to the optical interaction between the one or more light sheets and the sample
Data Source
AI summary
A sample is imaged using light-sheet imaging. The light-sheet imaging includes generating light, forming one or more light sheets from the light at one or more positions within the sample along respective illumination directions that are parallel with an illumination axis, and recording images of fluorescence emitted along a detection direction from the sample due to the optical interaction between the one or more light sheets and the sample. One or more properties relating to the light-sheet imaging are measured; the one or more measured properties are analyzed; and one or more operating parameters associated with the light-sheet imaging are adjusted based on the analysis of the one or more measured properties.