Neural space-time model for dynamic multi-shot imaging.

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Methods Pub Date : 2024-09-24 DOI:10.1038/s41592-024-02417-0
Ruiming Cao, Nikita S Divekar, James K Nuñez, Srigokul Upadhyayula, Laura Waller
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Abstract

Computational imaging reconstructions from multiple measurements that are captured sequentially often suffer from motion artifacts if the scene is dynamic. We propose a neural space-time model (NSTM) that jointly estimates the scene and its motion dynamics, without data priors or pre-training. Hence, we can both remove motion artifacts and resolve sample dynamics from the same set of raw measurements used for the conventional reconstruction. We demonstrate NSTM in three computational imaging systems: differential phase-contrast microscopy, three-dimensional structured illumination microscopy and rolling-shutter DiffuserCam. We show that NSTM can recover subcellular motion dynamics and thus reduce the misinterpretation of living systems caused by motion artifacts.

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用于动态多镜头成像的神经时空模型
如果场景是动态的,那么根据连续捕获的多个测量值进行的计算成像重建往往会出现运动伪影。我们提出了一种神经时空模型 (NSTM),它可以联合估计场景及其运动动态,而无需数据先验或预训练。因此,我们既能消除运动伪影,又能从用于传统重建的同一组原始测量数据中解析样本动态。我们在三个计算成像系统中演示了 NSTM:差分相位对比显微镜、三维结构照明显微镜和滚动快门 DiffuserCam。我们表明,NSTM 可以恢复亚细胞运动动态,从而减少运动伪影对生命系统的误读。
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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