研究目的
To develop a computational method that reconstructs image sequences of the beating heart from scanning-aberrated laser scanning microscopy images, enabling dynamic cardiac imaging with conventional LSMs without the need for high-speed microscopes or prospective gating.
研究成果
The proposed method effectively reconstructs image sequences of the beating heart from scanning-aberrated LSM images, with quality approaching that of fast, state-of-the-art microscopes. It enables dynamic cardiac imaging using conventional LSMs, making such studies accessible without the need for specialized high-speed imaging equipment.
研究不足
The method assumes the cardiac motion is both spatially and temporally cyclic, making it unsuitable for studying severe arrhythmias or general perturbations that disrupt the heartbeat's regularity. The reconstruction quality is affected by noise levels and the number of frames acquired.
1:Experimental Design and Method Selection:
The study involves a computational approach to reconstruct image sequences from scanning-aberrated images. The method includes frame sorting via a traveling salesman problem, heartbeat duration estimation, and scan-delay compensation through space-time resampling.
2:Sample Selection and Data Sources:
Synthetic data simulating a beating heart and experimental images from live zebrafish larvae were used. The zebrafish embryos were transgenic, expressing fluorescent proteins in the heart.
3:List of Experimental Equipment and Materials:
A Zeiss LSM880 inverted confocal microscope with an LD C-Apochromat 40×/1.1 NA water immersion objective lens was used for imaging.
4:1 NA water immersion objective lens was used for imaging.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The method involves acquiring multiple aberrated frames, sorting them by cardiac phase, estimating the heartbeat period, and resampling the data to reconstruct a uniform space-time grid covering one heartbeat.
5:Data Analysis Methods:
The performance was characterized on synthetic data under various light intensities and scanning speeds. The reconstruction quality was evaluated using the intersection over union (IOU) index.
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