Scanned Line Angular Projection Microscopy for High-Framerate Imaging
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Solution Overview
Problem
Current two-photon imaging techniques are limited by low pixel rates due to serial scanning methods, which restrict framerate and resolution, especially for large fields of view, and struggle with accurate recovery of mixed signals from highly coherent measurements.
Innovation Solution
The implementation of Scanned Line Angular Projection Microscopy (SLAPMi) using multiple incoherent projections and prior structural information to generate high-resolution images with frame acquisition rates exceeding 1000 Hz for fields of view greater than 1 million pixels, achieved by scanning lines of excitation light across the sample at multiple angles and utilizing a spatial light modulator for efficient illumination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If raster scanning is used to image the sample, then spatial resolution is achieved, but framerate is limited to approximately 100 Hz due to the serial acquisition approach
Solution Approach 1:
The patent segments the imaging process by dividing the field of view into multiple regions that can be imaged simultaneously using multifocal multiphoton methods, rather than scanning the entire field sequentially. This allows parallel acquisition of multiple subvolumes, dramatically increasing framerate while maintaining spatial resolution through computational unmixing of the segmented measurements.
Solution Approach 2:
The patent transitions from two-dimensional raster scanning to three-dimensional volumetric imaging by introducing the axial dimension through extended depth of field methods. This allows projections of volumes to be acquired at the rate of two-dimensional images, effectively adding a temporal dimension to the imaging process and achieving kilohertz framerates for megapixel fields of view.
2Productivity
If multifocal multiphoton methods are used to acquire multiple subvolumes simultaneously, then productivity increases, but device complexity increases due to the need for computational unmixing
Solution Approach 1:
The patent introduces computational unmixing algorithms as an intermediary processing step that separates the mixed signals from multiple focal points. This computational mediator takes the combined measurements from parallel multifocal imaging and reconstructs the individual source signals, enabling high-framerate imaging without requiring complex hardware modifications.
Solution Approach 2:
The patent replaces mechanical scanning systems with computational processing to achieve signal separation. Instead of using mechanical means to physically separate and image different regions sequentially, the system uses computational unmixing algorithms to separate the mixed signals mathematically, substituting mechanical complexity with computational processing.
3Productivity
If extended depth of field methods are used to collapse the axial dimension, then productivity increases by acquiring volume projections at 2D image rates, but measurement precision decreases due to highly coherent measurements
Solution Approach 1:
The patent combines multiple imaging approaches (multifocal multiphoton, extended depth of field, and incoherent projections) into a composite imaging system. This composite method integrates the strengths of each approach while mitigating their individual weaknesses, achieving both high framerate and accurate source recovery through the synergistic combination of different imaging modalities.
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
SLAPMi enables dynamic activity recovery with diffraction-limited spatial resolution across the entire field of view using several thousand measurements per frame, overcoming the limitations of traditional raster scanning by achieving significantly higher frame rates and accurate source recovery without tradeoffs between framerate and pixel counts.
Implementation Method 1
Two-photon imaging can achieve this insensitivity by using nonlinear absorption to confine fluorescence excitation to the high-intensity focus of a laser
Implementation Method 2
utilizing a spatial light modulator for efficient illumination
Implementation Method 3
Fluorescence emission light from the sample is detected in response to excitation by light in each of the plurality of light beam paths
Data Source
AI summary
Techniques are described for imaging a sample where the techniques include acquiring a raster scan image of the sample, providing light from a light source, directing the light into a plurality of different light beam paths at different times, providing light in each of the plurality of light beam paths through an objective lens to the sample, and providing light in each of the plurality of beams to different locations within the sample. Fluorescence emission light from the sample is detected in response to excitation by light in each of the plurality of light beam paths, where the detected fluorescence emission light corresponds to fluorescence intensity projections of the sample with low mutual coherence, and an image of the sample is generated based on the detected fluorescence emission light and based on the raster scan image.