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相关论文: Sources of Variance in Two-Photon Microscopy Neuro…

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Understanding alterations in structural disorders in tissue or cells or building blocks, such as DNA or chromatin in the human brain, at the nano to submicron level provides us with efficient biomarkers for Alzheimers detection. Here, we…

The study of the visual system of the brain has attracted the attention and interest of many neuro-scientists, that derived computational models of some types of neuron that compose it. These findings inspired researchers in image…

计算机视觉与模式识别 · 计算机科学 2021-03-03 Nicola Strisciuglio

Some modified two-slit interference experiments were carried out showing an apparent paradox in wave-particle duality. In a typical such experiment, the screen, where the interference pattern is supposed to be formed, is replaced by a…

量子物理 · 物理学 2023-04-05 Tabish Qureshi

Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. This work aims to investigate the neurological variation of human brain responses during…

计算机视觉与模式识别 · 计算机科学 2023-09-28 Naveen Kanigiri , Manohar Suggula , Debanjali Bhattacharya , Neelam Sinha

The cascade of fluorescence photons by a two-level atom excited by coherent laser light is reviewed. The discussion emphasizes the random nature of resonance fluorescence and uses the distribution of delays between two successively emitted…

量子物理 · 物理学 2023-04-14 Serge Reynaud

Optical imaging through complex media, such as biological tissues or fog, is challenging due to light scattering. In the multiple scattering regime, wavefront shaping provides an effective method to retrieve information; it relies on…

光学 · 物理学 2022-06-02 Alexandra d'Arco , Fei Xia , Antoine Boniface , Jonathan Dong , Sylvain Gigan

Recent advances in techniques for monitoring and perturbing neural populations have greatly enhanced our ability to study circuits in the brain. In particular, two-photon holographic optogenetics now enables precise photostimulation of…

神经元与认知 · 定量生物学 2025-05-09 Andrew Wagenmaker , Lu Mi , Marton Rozsa , Matthew S. Bull , Karel Svoboda , Kayvon Daie , Matthew D. Golub , Kevin Jamieson

Over the past few decades, magnetic resonance imaging has been utilized as a powerful imaging modality to evaluate the structure and function of various organs in the human body,such as the brain. Additionally, diffusion and perfusion MR…

医学物理 · 物理学 2016-12-12 Sanam Assili

Light-sheet microscopy (LSM) is a powerful imaging technique that uses a planar illumination oriented orthogonally to the detection axis. Two-photon (2P) LSM is a variant of LSM that exploits the 2P absorption effect for sample excitation.…

We studied the transmission of photons in mouse brain in both with and without intact skull states using Monte Carlo method. Photon track, optical absorption density and fluence rate were used as indicators for analysis. We found that, the…

医学物理 · 物理学 2020-09-30 Xianlin Song , Rui Wang , Jianshuang Wei , Lingfang Song

Scatter due to interaction of photons with the imaged object is a fundamental problem in X-ray Computed Tomography (CT). It manifests as various artifacts in the reconstruction, making its abatement or correction critical for image quality.…

医学物理 · 物理学 2024-01-30 Berk Iskender , Yoram Bresler

Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and machine learning, promising advancements in understanding human…

计算机视觉与模式识别 · 计算机科学 2023-12-29 Jingyuan Sun , Mingxiao Li , Zijiao Chen , Yunhao Zhang , Shaonan Wang , Marie-Francine Moens

Neuroradiologists and neurosurgeons increasingly opt to use functional magnetic resonance imaging (fMRI) to map functionally relevant brain regions for noninvasive presurgical planning and intraoperative neuronavigation. This application…

统计方法学 · 统计学 2023-06-07 Andrew S. Whiteman , Andreas J. Bartsch , Jian Kang , Timothy D. Johnson

Summary. A modified version of the two-slit experiment is proposed in which the moveable detector/counter used to obtain the fringe distribution by counting single photons at different positions on the screen plane is replaced with a mirror…

量子物理 · 物理学 2007-05-23 G. Sampath

Deducing the structure of neural circuits is one of the central problems of modern neuroscience. Recently-introduced calcium fluorescent imaging methods permit experimentalists to observe network activity in large populations of neurons,…

应用统计 · 统计学 2011-07-22 Yuriy Mishchencko , Joshua T. Vogelstein , Liam Paninski

Optical imaging of genetically encoded calcium indicators is a powerful tool to record the activity of a large number of neurons simultaneously over a long period of time from freely behaving animals. However, determining the exact time at…

应用统计 · 统计学 2021-03-08 Tong Shen , Kevin Johnston , Gyorgy Lur , Michele Guindani , Hernando Ombao , Zhaoxia Yu

In this article, we propose the two-photon interference imaging based on two-photon interference mechanism with thermal light source. Theoretical and experimental results show that the imaging quality and imaging speed of two-photon…

量子物理 · 物理学 2020-04-24 Deyang Duan , Yunjie Xia

Modern imaging techniques for probing brain function, including functional Magnetic Resonance Imaging, intrinsic and extrinsic contrast optical imaging, and magnetoencephalography, generate large data sets with complex content. In this…

神经元与认知 · 定量生物学 2009-11-10 P. P. Mitra , B. Pesaran

Decoding visual stimuli from neural population activity is crucial for understanding the brain and for applications in brain-machine interfaces. However, such biological data is often scarce, particularly in primates or humans, where…

机器学习 · 计算机科学 2025-10-24 Jan Sobotka , Luca Baroni , Ján Antolík

Experiments that study neural encoding of stimuli at the level of individual neurons typically choose a small set of features present in the world --- contrast and luminance for vision, pitch and intensity for sound --- and assemble a…

机器学习 · 统计学 2016-11-22 Xin , Chen , Jeffrey M Beck , John M Pearson