Scanning Light Field Microscopy for Low-Light Image Enhancement
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Solution Overview
Problem
Existing microscopic imaging techniques face challenges in reducing phototoxicity while maintaining image quality, particularly in low-light conditions, limiting long-term observations of living tissues or cells.
Innovation Solution
A low-light microscopic image enhancement method and system based on a scanning light field, utilizing a neural network to extract depth information from multi-angle images and enhance image quality using a depth reconstruction and image enhancement model, reducing phototoxicity through low-intensity illumination and scanning light field microscopy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If long-term illumination is used for microscopic observation, then image quality is improved, but phototoxicity to living tissues or cells increases
Solution Approach 1:
The patent uses light field scanning to capture multi-angle images sequentially over time, periodically sampling the sample from different angles rather than continuous illumination. This allows reconstruction of high-quality 3D images from temporal sequences of low-intensity images, reducing overall phototoxicity while maintaining image quality through time-integrated observation.
Solution Approach 2:
The patent introduces the temporal dimension by capturing images at multiple time points and angles, then uses light field reconstruction algorithms to synthesize high-quality images. This transforms the problem from spatial illumination intensity to temporal-spatial information integration, allowing quality improvement without proportional increase in phototoxicity.
2Speed
If light field microscope is used to achieve three-dimensional imaging through single shot, then imaging speed is improved, but spatial resolution is sacrificed
Solution Approach 1:
The patent performs preliminary scanning to capture multi-angle light field data from the sample before final image reconstruction. By pre-collecting angular information from multiple directions, the system enables subsequent high-resolution 3D reconstruction without requiring high-intensity single-shot illumination, thus maintaining both speed and resolution.
Solution Approach 2:
The patent uses light field data as an intermediary representation that encodes both spatial and angular information. This intermediate data structure allows the system to reconstruct high-resolution 3D images through computational processing rather than direct optical imaging, bridging the gap between fast single-shot capture and high spatial resolution.
3Manufacturing precision
If scanning light field microscope is used to make up for spatial resolution through scanning, then spatial resolution is improved, but illumination intensity must be increased which affects image quality
Solution Approach 1:
The patent uses periodic scanning to collect light field data from multiple angles at low illumination intensity. By accumulating information over multiple scanning cycles and angles, the system reconstructs high-resolution images through computational integration rather than relying on high-intensity single-frame capture, thus improving resolution without proportionally increasing illumination intensity.
Solution Approach 2:
The patent maintains continuous low-intensity illumination during the scanning process, keeping the sample continuously observable at safe light levels. The useful action of image data collection continues throughout the scanning process, with each angular scan contributing to the final high-resolution reconstruction, eliminating the need for intermittent high-intensity flashes.
Data Source
AI summary
A low-light microscopic image enhancement method and system based on a scanning light field is provided, including specific steps of: acquiring data to be enhanced, where the data to be enhanced is low-light microscopic images of multiple angles of any sample; inputting the low-light microscopic images of multiple angles of the any sample into a depth reconstruction model to obtain a depth map of the any sample; pairing the depth map of the any sample with the low-light microscopic images of multiple angles of the any sample to obtain multiple depth map-low-light microscopic image pairs; inputting the multiple depth map-low-light microscopic image pairs into an image enhancement model to obtain high-signal-to-noise-ratio images of multiple angles of the any sample.