Drosophila Brain Model Creation via Optical Coherence Tomography
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Solution Overview
Problem
Current methods for analyzing gene and disease interactions in transgenic mammals are hindered by long life spans, and existing technologies are inadequate for observing neural networks in three-dimensional environments, limiting the ability to reconstruct and understand the whole neural circuitry of small brains like those of fruit flies.
Innovation Solution
A bio-expression system that generates a standard Drosophila brain model and coordinate system by averaging individual models, transforming them into pseudo-average models, and creating a signed distance field to reconstruct the brain's surface and neuropils, allowing for the integration of gene expression data with anatomical structures in a virtual reality environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tissue slicing and fluorescent labeling are used to inspect the brain, then gene expression can be visualized, but the whole neural circuitry cannot be reconstructed due to physical damages and limited depth of view
Solution Approach 1:
The patent transitions from two-dimensional tissue slicing to three-dimensional optical coherence tomography imaging. By using optical coherence tomography, the system can non-invasively image the entire brain in three dimensions without physical sectioning, preserving the integrity of neural circuitry while enabling comprehensive visualization of gene expression patterns throughout the whole brain.
Solution Approach 2:
The patent creates a virtual three-dimensional copy of the brain using optical coherence tomography data. This digital replica allows for complete reconstruction of neural circuitry and gene expression patterns without the need for physical tissue sectioning, thereby eliminating damage to the original sample while maintaining measurement precision.
2Illumination intensity
If visible light is used for optical observation, then the brain can be imaged, but the penetration depth is limited to less than 50 micrometers
Solution Approach 1:
The patent changes the optical parameters by using optical coherence tomography with low-coherence light sources. This technique enables imaging at depths greater than 50 micrometers by utilizing the coherence properties of light to achieve optical sectioning through scattering tissue, thereby extending the penetration depth while maintaining imaging quality throughout the entire brain.
3Ease of operation
If two-dimensional cell culture is used, then cells can be observed, but the three-dimensional neural networks in the body cannot be simulated
Solution Approach 1:
The patent moves from two-dimensional cell culture observation to three-dimensional in vivo imaging using optical coherence tomography. This dimensional transition enables the system to capture and reconstruct the true three-dimensional architecture of neural networks within the intact brain, providing accurate spatial relationships and connectivity that cannot be achieved in two-dimensional cultures.
4Reliability
If transgenic mammals are used for gene and disease analysis, then accurate disease modeling can be achieved, but the long life span delays research progress
Solution Approach 1:
The patent creates detailed three-dimensional optical copies of the brain that can be used for comprehensive analysis without requiring long-term longitudinal studies. By capturing complete structural and molecular information through optical coherence tomography, researchers can study disease progression and gene function in a single time point, dramatically reducing the time required for disease modeling while maintaining accuracy.
Data Source
AI summary
A method of generating standard brain model from a bio-expression system includes performing steps of registration to input standard surface and individual surface into affine registration; recording a transformation parameters from the affine registration; performing steps of inputting a individual neuropil and transform parameters into an affine transformation; applying the data of the affine transformation to transform individual neuropil to achieve transformed individual neuropil; and performing a step of affine registration to register a standard neuropil to the transformed individual neuropil to achieve a resulting transformation, wherein the resulting transformation can be output as a position and orientation of standard neuropil within the standard surface.