Flow Cytometry Image Reconstruction for Fast-Moving Fluorescent Cells
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Solution Overview
Problem
Conventional fluorescence-based flow cytometry struggles with acquiring blur-free images of fast-moving cells and other sub-millisecond biochemical dynamics due to weak optical emission and limited imaging flexibility.
Innovation Solution
A system and method utilizing a laser for illumination, detectors for signal detection, and an analysis module that employs statistical techniques such as least squares, gradient descent, and Bayesian spectral estimation to reconstruct high-resolution fluorescence, brightfield, and darkfield images from temporal signals, leveraging radiofrequency-shifted laser radiation and forward models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional fluorescence-based flow cytometry is used to capture images of fast-moving cells, then the imaging speed can be maintained, but the image quality becomes blurred and resolution is poor
Solution Approach 1:
The patent replaces conventional mechanical imaging systems with a statistical modeling approach. Instead of using complex mechanical stabilization or slowing mechanisms, the system uses computational methods (forward models and statistical analysis) to reconstruct high-resolution images from temporal signals obtained at high cell flow speeds, thereby achieving both high speed and high resolution without mechanical intervention.
Solution Approach 2:
The patent changes the parameter of image acquisition from spatial sampling to temporal signal analysis. By collecting fluorescence signals over time as cells flow through the interrogation region and then applying statistical analysis with forward models, the system reconstructs images that achieve high resolution despite the continuous motion of cells at high speed.
2Illumination intensity
If the exposure time is increased to capture weak fluorophore emission, then the signal strength improves, but the image becomes blurred due to cell motion
Solution Approach 1:
The patent replaces the mechanical approach of extending exposure time with a computational approach. The system collects fluorescence signals at high temporal resolution during cell flow and uses statistical analysis with forward models to reconstruct images, thereby achieving strong signal capture without the blurring that would result from prolonged physical exposure.
Solution Approach 2:
The patent maintains continuous signal collection during cell flow through the interrogation region. Rather than using discrete, prolonged exposures that cause motion blur, the system continuously collects temporal fluorescence signals and processes them computationally, ensuring that useful signal accumulation occurs without sacrificing temporal resolution or causing blur.
3Adaptability or versatility
If multiple imaging modes are implemented to provide flexible sample analysis, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent implements a universal statistical analysis framework that can process and reconstruct images from multiple imaging modes (fluorescence, brightfield, darkfield) using the same forward model and statistical analysis algorithms. This allows a single system to perform multiple imaging functions without requiring separate dedicated hardware for each mode, thereby achieving versatility without proportional increases in complexity.
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
Enhances image resolution and signal-to-noise ratio, providing flexible imaging modes without mechanical modifications, suitable for various biological samples including cells, micro-vesicles, and small organisms.
Implementation Method 1
fluorescence radiation emitted by exogenous and/or endogenous cellular fluorophores is collected and analyzed
Implementation Method 2
at least one detector arranged to detect at least a portion of a radiation emanating from the sample in response to said illumination and to generate a temporal signal
Data Source
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AI summary
In one aspect, a system for performing flow cytometry is disclosed, which comprises a laser for generating laser radiation for illuminating a sample, at least one detector for detecting at least a portion of a radiation emanating from the sample in response to said illumination so as to generate a temporal signal corresponding to said detected radiation, and an analysis module for receiving said temporal signal and performing a statistical analysis of said signal based on a forward model to reconstruct an image of said sample.