Microscope Stability via Fiduciary Feedback
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Solution Overview
Problem
Microscope instabilities, particularly sample drift, compromise the precision and accuracy of biological imaging, especially in localization-based microscopy where long data acquisition times demand high stability and small positional drifts can destroy high-resolution images.
Innovation Solution
A closed-loop feedback system using a light source to illuminate a sample with both a target element and a fiduciary element on a nanopositioning stage, where the image sensor detects photons from both, and an algorithm calculates the fiduciary element's location to correct positional drift, maintaining stability through nanopositioning adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If long data acquisition times are used in localization-based microscopy, then high resolution images can be obtained, but microscope stability deteriorates leading to sample drift
Solution Approach 1:
The patent implements a feedback control system where the position of fiduciary elements is continuously monitored by an image sensor, and the nanopositioning stage adjusts the sample position in real-time to compensate for drift. The controller receives position information from the image sensor and generates correction signals to the nanopositioning stage, creating a closed-loop feedback mechanism that maintains image stability throughout long acquisition periods.
Solution Approach 2:
The patent introduces fiduciary elements as intermediary reference objects that are imaged alongside the sample. These fiduciary elements serve as mediators to detect and quantify microscope drift, enabling the feedback system to calculate and apply appropriate position corrections to maintain sample stability during long-term imaging.
2Reliability
If sample drift correction is implemented using closed-loop feedback control, then image stability is improved, but device complexity increases
Solution Approach 1:
The patent makes the image sensor serve multiple functions: it both captures the scientific image data of the sample and simultaneously tracks the position of fiduciary elements for drift detection. This multi-functionality eliminates the need for separate detection systems, reducing overall device complexity while maintaining effective feedback control for image stabilization.
Solution Approach 2:
The system uses the existing imaging infrastructure (light source, objective lens, image sensor) to simultaneously perform both sample imaging and drift detection. The same optical path and detector that capture sample information also monitor fiduciary element positions, allowing the system to self-diagnose and self-correct drift without requiring additional specialized components.
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 stabilizes the image with nanometer-scale accuracy in all three dimensions for extended periods, allowing for precise imaging and tracking of samples, even in high-resolution microscopy techniques like super-resolution microscopy.
Implementation Method 1
The light source excites or illuminates the target element and fiduciary element, which emit photons which are detected with an image sensor
Data Source
AI summary
Stabilization, via active-feedback positional drift-correction, of an optical microscope imaging system in up to 3-dimensions is achieved using the optical measurement path of an image sensor. Nanometer-scale stability of the imaging system is accomplished by correcting for positional drift using fiduciary references sparsely distributed within or in proximity to the experimental sample.