Fluorescence Microscope Illumination Feedback for Photobleaching Control
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Solution Overview
Problem
Conventional fluorescence microscopes require extensive user experience to achieve optimal imaging results, particularly in time-lapse experiments, due to interdependent system parameters that counteract each other, leading to inadequate image quality and photobleaching of samples.
Innovation Solution
A method for adjusting illumination parameters in multiple iteration steps during a time-lapse experiment, using bleaching behavior and fluorescence response descriptors to optimize image quality while minimizing phototoxicity, allowing for consistent image contrast and brightness throughout the acquisition time interval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high illumination intensity is used to improve image signal-to-noise ratio, then image quality is improved, but photobleaching of the fluorophore increases
Solution Approach 1:
The illumination parameter is adjusted dynamically during the time-lapse experiment through multiple iteration steps. The system continuously adapts the illumination intensity based on real-time feedback from fluorescence response descriptors and bleaching behavior descriptors, transitioning from static to dynamic control to optimize both image quality and minimize photobleaching throughout the acquisition period.
Solution Approach 2:
The system employs feedback control by determining fluorescence response descriptors and bleaching behavior descriptors from acquired images, then using these descriptors to adjust illumination parameters in subsequent iteration steps. This closed-loop feedback mechanism enables the system to automatically optimize illumination intensity based on actual sample response and photobleaching rates.
2Measurement precision
If extensive user experience is required to adjust system parameters, then optimal imaging results can be achieved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-optimization by automatically determining optimal illumination parameters based on measured fluorescence response and bleaching behavior. The microscope system autonomously adjusts parameters without requiring extensive user experience or manual tuning, as the control unit independently analyzes descriptors and computes optimal settings through iterative optimization.
Solution Approach 2:
The system automatically changes illumination parameters based on determined descriptors and optimization algorithms. Instead of requiring users to manually adjust multiple interdependent parameters, the system computationally determines optimal parameter values and automatically applies them, transforming a complex manual adjustment process into an automated parameter optimization process.
3Device complexity
If illumination parameter is kept constant throughout acquisition time interval, then system complexity is reduced, but fluorescence response uniformity deteriorates due to photobleaching
Solution Approach 1:
The illumination parameter transitions from a constant static value to a dynamic variable that changes during the acquisition time interval. The system implements multiple iteration steps where illumination intensity is adjusted based on time-dependent fluorescence response and bleaching behavior, enabling the system to compensate for photobleaching and maintain uniform fluorescence responses throughout the experiment.
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 method enables high signal-to-noise ratio images with minimized photobleaching, ensuring uniform fluorescence responses and improved comparability of time-resolved sample images, addressing the challenges of photobleaching and image quality trade-offs in conventional methods.
Implementation Method 1
Fluorescence microscopy exploits the characteristic of fluorochromes to emit light after being excited with light of a certain, particularly different, wavelength
Implementation Method 2
a bleaching behaviour descriptor indicative of a bleaching behaviour of said target fluorophore
Data Source
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AI summary
A method (1) for examining a fluorescent sample (300) containing a target fluorophore j using a fluorescence microscope (100), said method (1) includingacquiring a series of sample images over an acquisition time interval, is proposed, wherein an illumination parameter P k is adjusted in a plurality of eration steps nduring the acquisition time interval to different set values and the sample images are acquired (15) after adjusting the illumination parameter P k in at least some of the iteration steps n, wherein a bleaching behaviour descriptor κ j indicative of a bleaching behaviour of said target fluorophore j and a fluorescence response descriptor I j indicative of a fluorescence response of said target fluorophore j is determined for the set value of the illumination parameter P k in at least some of said iteration steps n, and wherein said adjusting said set value of said illumination parameter P k is, for at least some of said iteration steps n, performed on the basis of said bleaching behaviour descriptor κ j and said fluorescence response descriptor I j as determined in a preceding one of said iteration steps n. A microscope system (1000) and a computer program with a program code for performing the method according to any one of claims 1 to 11, when the computer program is run on a processor.