Progress in brain neural connectomics

Sun, Le; Du, Jiulin

doi:10.1360/n052017-00215

Cited by 2 publications

(3 citation statements)

References 51 publications

(56 reference statements)

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“…Wood blocks and thin pieces of wood with various structures can be produced by cutting along different sections of the wood (Figure 2a). [50] Wood pulp can be produced by mechanical grinding/refining and digesting or cooking of wood using solutions of various chemicals. Multiple types of papers can be generated from pulps using different paper-making methods (Figure 2b).…”

Section: Strategies For Fabricating Separation Materialsmentioning

confidence: 99%

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Wood‐Derived Systems for Sustainable Oil/Water Separation

Fang

Jing

et al. 2021

Advanced Sustainable Systems

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As defined by the United Nations, "clean water and sanitation" is one of the 17 sustainable development goals for the improvement of sustainable living. Pollution prevention and the acquisition of clean water are urgent demands that require the joint cooperation of all nations. From a practical standpoint, it is important to develop sustainable systems for oil/water separation because mixtures of oil and water often threaten the environment and endanger biological systems. For example, major oil spills can destroy entire ecosystems and the economic activities that depend on them. [1] Separating oil and water is currently a global challenge. [2][3][4][5][6][7][8][9][10][11][12][13][14] Thus, more effort is required for the construction of effective systems based on functional materials, devices, and techniques that facilitate the sustainable separation of oil/ water mixtures (O/W-Ms) to obtain clean water and to enable the recycling of expensive oil. Water is often "polluted" by oil and forms oil/water layered mixtures (O/W-LMs), oil-in-water emulsions (O/W-Es), and water-in-oil emulsions (W/O-Es). [2] When trace amounts of water is mixed in oil, it is also difficult to remove the water. Different types of O/W-Ms have been separated by filtration and absorption using systems containing various materials with specific structures and wettabilities. These materials are usually porous to facilitate liquid absorption, storage, and transportation.For filtration separation systems, hydrophilic materials that are oleophobic in subaquatic environments are used as filters to retain oil and allow water to pass through, [15][16][17] whereas oleophilic materials that are hydrophobic under oil are used as filters to repel water and enable oil to pass through. [18][19][20][21] For absorption separation systems, various oleophilic and hydrophobic materials are exploited to absorb oil from water. [22][23][24][25][26][27][28] Speed and efficiency are the most critical factors for separation systems, and are widely determined by the method of separation, the structures and performances of the separation materials, and the characteristics, ratios, and amounts of the O/W-Ms. It is also important to achieve continuous and largescale oil/water separation. [28][29][30] Although systems comprising novel materials and devices have been employed for the rapid and efficient separation of oil and water, the exploitation of separation materials still faces many practical challenges. These Separating oil and water remains a serious challenge because various oil/ water mixtures are generated in large quantities by industrial processes, unexpected accidents, and daily life. Various systems containing materials with specific structures and wettabilities have been investigated as possible solutions to this issue. As a sustainable biological material, wood and its derivatives have many advantageous properties for practical applications. The present review mainly focuses on recent progress in using wood-derived systems for sustainable oil/water separ...

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Section: Strategies For Fabricating Separation Materialsmentioning

confidence: 99%

Section: Modificationmentioning

confidence: 99%

Wood‐Derived Systems for Sustainable Oil/Water Separation

Fang

Jing

et al. 2021

Advanced Sustainable Systems

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“…Connectomics is an important research field in exploring and understanding the nanoscale neuronal structures of the brain, which is of great significance for research on neuronal function, neurogenic diseases, and brain-inspired intelligence (Paul Alivisatos et al, 2012 ; Luo, 2017 ; Sun and Du, 2018 ). Serial sections electron microscopy (ssEM) imaging is one of the important techniques to obtain three-dimensional (3 D ) neural tissue image data at nanometer resolution (Wanner et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Neuronal Morphological Model-Driven Image Registration for Serial Electron Microscopy Sections

Zhou

Chen

et al. 2022

Front. Hum. Neurosci.

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Registration of a series of the two-dimensional electron microscope (EM) images of the brain tissue into volumetric form is an important technique that can be used for neuronal circuit reconstruction. However, complex appearance changes of neuronal morphology in adjacent sections bring difficulty in finding correct correspondences, making serial section neural image registration challenging. To solve this problem, we consider whether there are such stable "markers" in the neural images to alleviate registration difficulty. In this paper, we employ the spherical deformation model to simulate the local neuron structure and analyze the relationship between registration accuracy and neuronal structure shapes in two adjacent sections. The relevant analysis proves that regular circular structures in the section images are instrumental in seeking robust corresponding relationships. Then, we design a new serial section image registration framework driven by this neuronal morphological model, fully utilizing the characteristics of the anatomical structure of nerve tissue and obtaining more reasonable corresponding relationships. Specifically, we leverage a deep membrane segmentation network and neural morphological physical selection model to select the stable rounded regions in neural images. Then, we combine feature extraction and global optimization of correspondence position to obtain the deformation field of multiple images. Experiments on real and synthetic serial EM section neural image datasets have demonstrated that our proposed method could achieve more reasonable and reliable registration results, outperforming the state-of-the-art approaches in qualitative and quantitative analysis.

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Progress in brain neural connectomics

Abstract: MicroRNAs in neural cell development and brain diseases SCIENCE CHINA Life Sciences 54, 1103 (2011); Brain's neural switch for social dominance in animals

Cited by 2 publications

References 51 publications

Wood‐Derived Systems for Sustainable Oil/Water Separation

Wood‐Derived Systems for Sustainable Oil/Water Separation

Neuronal Morphological Model-Driven Image Registration for Serial Electron Microscopy Sections

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