Optical Detection via Image Segmentation and Light Modulation
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Solution Overview
Problem
Current optical detection systems face limitations in achieving high-speed and high-resolution imaging due to restricted observation regions and interference between adjacent signal regions, which hampers the ability to capture images at frame rates higher than KHz.
Innovation Solution
An optical detection system and method based on image segmentation, utilizing a pattern generator to select regions-of-interest and a light modulator to selectively separate optical paths, allowing for high-speed detection of optical signals using different pixels, thereby avoiding interference and enhancing measurement speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If subarray readout or pixel binning is used for high-speed imaging, then frame rate is improved, but observation region is limited or resolution is lowered
Solution Approach 1:
The patent applies segmentation by dividing the image sensor into multiple independently controllable pixel groups (first pixel group and second pixel group). This allows selective activation of pixel groups corresponding to different regions of interest, enabling high-speed imaging of specific areas without sacrificing overall resolution. The segmentation enables the system to maintain full resolution for selected ROIs while achieving high frame rates by processing only relevant pixel data.
2Speed
If scanning is performed to increase detection speed, then measurement speed is improved, but speed is reduced as more scanning is performed
Solution Approach 1:
The patent extracts and isolates specific regions of interest from the full image using the light modulator, which selectively transmits or blocks light based on predetermined patterns. This extraction allows the system to focus detection resources on only the relevant areas, eliminating the need for extensive scanning of the entire field of view. The result is high detection speed for selected ROIs without the speed penalty associated with comprehensive scanning.
3Device complexity
If optical paths of adjacent signal regions are not separated, then device complexity is reduced, but signal interference occurs between adjacent regions
Solution Approach 1:
The patent introduces a light modulator as an intermediary component between the sample and the image sensor. This intermediary selectively modulates the optical paths based on predetermined patterns, spatially separating signals from different regions before they reach the sensor. The light modulator acts as a mediator that prevents signal interference between adjacent regions while maintaining a relatively simple overall system architecture, avoiding the need for complex optical isolation mechanisms.
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
Enables ultra-high-speed optical signal measurement without spatial resolution interference, allowing for flexible separation of spatial and temporal resolutions and improved data sampling.
Implementation Method 1
a light modulator configured to receive the specific pattern and selectively separate the optical paths for the at least one region-of-interest from the target image
Implementation Method 2
an optical detection unit configured to detect separated optical signals for the at least one region-of-interest based on different pixels
Data Source
AI summary
An optical detection system based on image segmentation according an embodiment of the present disclosure includes a pattern generator configured to select at least one region-of-interest from a target image and generate a specific pattern for controlling optical paths for the at least one region-of-interest, a light modulator configured to receive the specific pattern and selectively separate the optical paths for the at least one region-of-interest from the target image, and an optical detection unit configured to detect separated optical signals for the at least one region-of-interest based on different pixels.