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Motivation: Serial section microscopy is an established method for detailed anatomy reconstruction of biological specimen. During the last decade, high resolution electron microscopy (EM) of serial sections has become the de-facto standard…

计算机视觉与模式识别 · 计算机科学 2016-06-20 Philipp Hanslovsky , John A. Bogovic , Stephan Saalfeld

Serial section electron microscopy (ssEM) is a widely used technique for obtaining volumetric information of biological tissues at nanometer scale. However, accurate 3D reconstructions of identified cellular structures and volumetric…

图像与视频处理 · 电气工程与系统科学 2020-02-06 Thanuja D. Ambegoda , Julien N. P. Martel , Jozef Adamcik , Matthew Cook , Richard H. R. Hahnloser

The most established method of reconstructing neural circuits from animals involves slicing tissue very thin, then taking mosaics of electron microscope (EM) images. To trace neurons across different images and through different sections,…

定量方法 · 定量生物学 2013-04-23 Louis K. Scheffer , Bill Karsh , Shiv Vitaladevun

A central problem in neuroscience is reconstructing neuronal circuits on the synapse level. Due to a wide range of scales in brain architecture such reconstruction requires imaging that is both high-resolution and high-throughput. Existing…

计算机视觉与模式识别 · 计算机科学 2012-10-03 Tao Hu , Juan Nunez-Iglesias , Shiv Vitaladevuni , Lou Scheffer , Shan Xu , Mehdi Bolorizadeh , Harald Hess , Richard Fetter , Dmitri Chklovskii

The alignment of serial-section electron microscopy (ssEM) images is critical for efforts in neuroscience that seek to reconstruct neuronal circuits. However, each ssEM plane contains densely packed structures that vary from one section to…

计算机视觉与模式识别 · 计算机科学 2017-12-06 Inwan Yoo , David G. C. Hildebrand , Willie F. Tobin , Wei-Chung Allen Lee , Won-Ki Jeong

Automated sample preparation and electron microscopy enables acquisition of very large image data sets. These technical advances are of special importance to the field of neuroanatomy, as 3D reconstructions of neuronal processes at the nm…

The detailed reconstruction of neural anatomy for connectomics studies requires a combination of resolution and large three-dimensional data capture provided by serial section electron microscopy (ssEM). The convergence of high throughput…

计算机视觉与模式识别 · 计算机科学 2017-11-21 Arthur W. Wetzel , Jennifer Bakal , Markus Dittrich , David G. C. Hildebrand , Josh L. Morgan , Jeff W. Lichtman

To build the connectomics map of the brain, we developed a new algorithm that can automatically refine the Membrane Detection Probability Maps (MDPM) generated to perform automatic segmentation of electron microscopy (EM) images. To achieve…

神经与进化计算 · 计算机科学 2015-06-22 Xundong Wu

The prospect of neural reconstruction from Electron Microscopy (EM) images has been elucidated by the automatic segmentation algorithms. Although segmentation algorithms eliminate the necessity of tracing the neurons by hand, significant…

计算机视觉与模式识别 · 计算机科学 2015-09-29 Toufiq Parag

Comprehensive, synapse-resolution imaging of the brain will be crucial for understanding neuronal computations and function. In connectomics, this has been the sole purview of volume electron microscopy (EM), which entails an excruciatingly…

图像与视频处理 · 电气工程与系统科学 2023-03-03 Yicong Li , Yaron Meirovitch , Aaron T. Kuan , Jasper S. Phelps , Alexandra Pacureanu , Wei-Chung Allen Lee , Nir Shavit , Lu Mi

Electron microscopy has shown to be a very powerful tool to map the chemical nature of samples at various scales down to atomic resolution. However, many samples can not be analyzed with an acceptable signal-to-noise ratio because of the…

图像与视频处理 · 电气工程与系统科学 2018-02-28 Étienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Marta de Frutos , Nicolas Dobigeon

Morphology of mitochondria plays critical roles in mediating their physiological functions. Accurate segmentation of mitochondria from 3D electron microscopy (EM) images is essential to quantitative characterization of their morphology at…

计算机视觉与模式识别 · 计算机科学 2022-06-16 Yunpeng Xiao , Youpeng Zhao , Ge Yang

Positron emission tomography (PET) is an important functional medical imaging technique often used in the evaluation of certain brain disorders, whose reconstruction problem is ill-posed. The vast majority of reconstruction methods in PET…

图像与视频处理 · 电气工程与系统科学 2023-06-09 Tin Vlašić , Tomislav Matulić , Damir Seršić

Morphology based analysis of cell types has been an area of great interest to the neuroscience community for several decades. Recently, high resolution electron microscopy (EM) datasets of the mouse brain have opened up opportunities for…

The emerging field of connectomics aims to unlock the mysteries of the brain by understanding the connectivity between neurons. To map this connectivity, we acquire thousands of electron microscopy (EM) images with nanometer-scale…

定量方法 · 定量生物学 2016-04-04 Stephen M. Plaza , Stuart E. Berg

Lorentz transmission electron microscopy is a unique characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materials at high spatial resolution. The quantitative information…

材料科学 · 物理学 2020-12-09 Tao Zhou , Mathew Cherukara , Charudatta Phatak

Ultra-thin multimode optical fiber imaging promises next-generation medical endoscopes reaching high image resolution for deep tissues. However, current technology suffers from severe optical distortion, as the fiber's calibration is…

光学 · 物理学 2023-10-04 Yijie Zheng , George S. D. Gordon

Focused Ion Beam Scanning Electron Microscope (FIB-SEM) imaging is a technique that image materials section-by-section at nano-resolution, e.g.,5 nanometer width voxels. FIB-SEM is well suited for imaging ultrastructures in cells.…

定量方法 · 定量生物学 2020-08-06 Hans Jacob Teglbjærg Stephensen , Sune Darkner , Jon Sporring

Electron microscopy (EM) imaging offers unparalleled resolution for analyzing neural tissues, crucial for uncovering the intricacies of synaptic connections and neural processes fundamental to understanding behavioral mechanisms. Recently,…

计算机视觉与模式识别 · 计算机科学 2024-08-27 Ruohua Shi , Qiufan Pang , Lei Ma , Lingyu Duan , Tiejun Huang , Tingting Jiang

The manipulation and control of nanoscale magnetic spin textures is of rising interest as they are potential foundational units in next-generation computing paradigms. Achieving this requires a quantitative understanding of the spin texture…

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