Stochastic Reagent Clusters for Nanoscale Cellular Imaging
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Solution Overview
Problem
Current imaging methods for cells and biological systems lack the capability to achieve high-speed and nanoscale precision, making it difficult to effectively image cells and their activities.
Innovation Solution
The development of genetically encoded activity reporters that cluster and distribute stochastically, allowing for subcellular and nanoscale precision imaging by forming clusters that are spaced further than the diffraction limit, enabling the visualization of neural processes and physiological activities within cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging methods are used to image cells and biological systems, then imaging can be performed with standard equipment, but imaging precision is limited by the diffraction limit and cannot achieve nanoscale precision
Solution Approach 1:
The invention segments the imaging system into two functional components: (1) a simple widefield microscope for capturing images, and (2) computational algorithms for post-processing. By dividing the complex task of nanoscale imaging between simple hardware and sophisticated software, the invention achieves nanoscale precision without requiring complex optical equipment.
Solution Approach 2:
The invention changes the parameter of image processing from direct optical measurement to computational reconstruction. By transforming the imaging approach from optical domain to computational domain, the system overcomes the diffraction limit without modifying the physical imaging hardware.
2Measurement precision
If fluorescent indicators are distributed uniformly throughout cells, then complete coverage is achieved, but the resolution between adjacent cells or structures is limited by diffraction
Solution Approach 1:
The invention applies local quality by creating non-uniform, clustered distributions of fluorescent indicators rather than uniform distribution. Each cluster acts as a localized sampling point with high indicator density, while the spacing between clusters exceeds the diffraction limit. This localized concentration strategy enables both sufficient sampling coverage and diffraction-limited resolution between adjacent structures.
3Speed
If high-speed imaging is performed to capture dynamic cellular processes, then temporal resolution is improved, but spatial precision is compromised due to diffraction limitations
Solution Approach 1:
The invention separates the temporal and spatial resolution functions: widefield microscopy provides high-speed temporal capture, while computational deconvolution algorithms provide post-acquisition spatial refinement. This segmentation allows the system to achieve both high imaging speed and nanoscale spatial precision without compromise.
4Quantity of substance
If the distance between fluorescent indicator clusters is reduced to improve sampling density, then more cells can be sampled, but the clusters can no longer be resolved separately by the microscope
Solution Approach 1:
The invention changes the resolution parameter from optical domain to computational domain. By using deconvolution algorithms and maximum likelihood estimation, the system can computationally resolve clusters that are optically indistinguishable, thereby enabling high sampling density while maintaining the ability to distinguish individual clusters through mathematical processing rather than optical separation.
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 allows for the precise imaging of cellular activities at a nanoscale, enabling the detection of neural processes and attribution of activity to individual cells within dense networks, maintaining sensitivity and speed comparable to existing indicators.
Implementation Method 1
the genetically encoded activity reporter comprises two or more binding repeat polypeptides that self-polymerize when expressed
Implementation Method 2
the binding repeat polypeptides comprise one or more polypeptides that bind with each other when expressed in a cell
Implementation Method 3
the distance between the fluorescent indicator molecule clusters is greater than the resolving distance of the microscope used to image the one or more cells
Implementation Method 4
The separate imaging is possible because the clusters 'sample' the different cells and allow their physiology to be determined at points greater than the diffraction limit
Data Source
AI summary
The invention, in some aspects relates to compositions and methods for imaging biological systems and physiological activity and conditions in cells.