Standard metadata for 3D microscopy.
Standard metadata for 3D microscopy.
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3D显微镜的标准元数据。
DOI：
10.1038/s41597-022-01562-5
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发表时间：
2022-07-27
期刊：
影响因子：
9.8
通讯作者：
Huggins, Wayne
中科院分区：
文献类型：
--
作者：
Ropelewski, Alexander J.;Rizzo, Megan A.;Swedlow, Jason R.;Huisken, Jan;Osten, Pavel;Khanjani, Neda;Weiss, Kurt;Bakalov, Vesselina;Engle, Michelle;Gridley, Lauren;Krzyzanowski, Michelle;Madden, Tom;Maiese, Deborah;Mandal, Meisha;Waterfield, Justin;Williams, David;Hamilton, Carol M.;Huggins, Wayne
荧光显微镜技术以及组织透明化、标记和染色的最新进展为研究大脑结构和功能提供了前所未有的机会。这些实验的图像使得对脑细胞类型进行分类并定义它们在本地环境中的位置、形态和连接性成为可能，从而更好地了解正常发育和疾病病因学。需要对元数据进行一致的注释，以提供理解、重用和集成这些数据所需的上下文。本报告介绍了为三维 (3D) 显微镜数据集建立元数据标准的努力，以供大脑研究通过推进创新神经技术® (BRAIN) 计划和神经科学研究界使用。这些标准建立在现有努力的基础上，并根据脑显微镜界的意见制定，以促进采用。由此产生的 3D 显微镜元数据标准 (3D-MMS) 包括 91 个字段，分为七类：贡献者、资助者、出版物、仪器、数据集、样本和图像。采用这些元数据标准将确保调查人员的工作获得认可、促进数据重用、促进共享数据的下游分析并鼓励协作。
Recent advances in fluorescence microscopy techniques and tissue clearing, labeling, and staining provide unprecedented opportunities to investigate brain structure and function. These experiments’ images make it possible to catalog brain cell types and define their location, morphology, and connectivity in a native context, leading to a better understanding of normal development and disease etiology. Consistent annotation of metadata is needed to provide the context necessary to understand, reuse, and integrate these data. This report describes an effort to establish metadata standards for three-dimensional (3D) microscopy datasets for use by the Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative and the neuroscience research community. These standards were built on existing efforts and developed with input from the brain microscopy community to promote adoption. The resulting 3D Microscopy Metadata Standards (3D-MMS) includes 91 fields organized into seven categories: Contributors, Funders, Publication, Instrument, Dataset, Specimen, and Image. Adoption of these metadata standards will ensure that investigators receive credit for their work, promote data reuse, facilitate downstream analysis of shared data, and encourage collaboration.
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影响因子：
16.6
作者：
Lemon WC;Pulver SR;Höckendorf B;McDole K;Branson K;Freeman J;Keller PJ
通讯作者：
Keller PJ
影响因子：
2
作者：
Nelson, Glyn;Boehm, Ulrike;Bagley, Steve;Bajcsy, Peter;Bischof, Johanna;Brown, Claire M.;Dauphin, Aurelien;Dobbie, Ian M.;Eriksson, John E.;Faklaris, Orestis;Fernandez-Rodriguez, Julia;Ferrand, Alexia;Gelman, Laurent;Gheisari, Ali;Hartmann, Hella;Kukat, Christian;Laude, Alex;Mitkovski, Miso;Munck, Sebastian;North, Alison J.;Rasse, Tobias M.;Resch-Genger, Ute;Schuetz, Lucas C.;Seitz, Arne;Strambio-De-Castillia, Caterina;Swedlow, Jason R.;Alexopoulos, Ioannis;Aumayr, Karin;Avilov, Sergiy;Bakker, Gert-Jan;Bammann, Rodrigo R.;Bassi, Andrea;Beckert, Hannes;Beer, Sebastian;Belyaev, Yury;Bierwagen, Jakob;Birngruber, Konstantin A.;Bosch, Manel;Breitlow, Juergen;Cameron, Lisa A.;Chalfoun, Joe;Chambers, James J.;Chen, Chieh-Li;Conde-Sousa, Eduardo;Corbett, Alexander D.;Cordelieres, Fabrice P.;Del Nery, Elaine;Dietzel, Ralf;Eismann, Frank;Fazeli, Elnaz;Felscher, Andreas;Fried, Hans;Gaudreault, Nathalie;Goh, Wah Ing;Guilbert, Thomas;Hadleigh, Roland;Hemmerich, Peter;Holst, Gerhard A.;Itano, Michelle S.;Jaffe, Claudia B.;Jambor, Helena K.;Jarvis, Stuart C.;Keppler, Antje;Kirchenbuechler, David;Kirchner, Marcel;Kobayashi, Norio;Krens, Gabriel;Kunis, Susanne;Lacoste, Judith;Marcello, Marco;Martins, Gabriel G.;Metcalf, Daniel J.;Mitchell, Claire A.;Moore, Joshua;Mueller, Tobias;Nelson, Michael S.;Ogg, Stephen;Onami, Shuichi;Palmer, Alexandra L.;Paul-Gilloteaux, Perrine;Pimentel, Jaime A.;Plantard, Laure;Podder, Santosh;Rexhepaj, Elton;Royon, Arnaud;Saari, Markku A.;Schapman, Damien;Schoonderwoert, Vincent;Schroth-Diez, Britta;Schwartz, Stanley;Shaw, Michael;Spitaler, Martin;Stoeckl, Martin T.;Sudar, Damir;Teillon, Jeremie;Terjung, Stefan;Thuenauer, Roland;Wilms, Christian D.;Wright, Graham D.;Nitschke, Roland
通讯作者：
Nitschke, Roland
影响因子：
48
作者：
Sarkans U;Chiu W;Collinson L;Darrow MC;Ellenberg J;Grunwald D;Hériché JK;Iudin A;Martins GG;Meehan T;Narayan K;Patwardhan A;Russell MRG;Saibil HR;Strambio-De-Castillia C;Swedlow JR;Tischer C;Uhlmann V;Verkade P;Barlow M;Bayraktar O;Birney E;Catavitello C;Cawthorne C;Wagner-Conrad S;Duke E;Paul-Gilloteaux P;Gustin E;Harkiolaki M;Kankaanpää P;Lemberger T;McEntyre J;Moore J;Nicholls AW;Onami S;Parkinson H;Parsons M;Romanchikova M;Sofroniew N;Swoger J;Utz N;Voortman LM;Wong F;Zhang P;Kleywegt GJ;Brazma A
通讯作者：
Brazma A
影响因子：
9.8
作者：
Maumet, Camille;Auer, Tibor;Bowring, Alexander;Chen, Gang;Das, Samir;Flandin, Guillaume;Ghosh, Satrajit;Glatard, Tristan;Gorgolewski, Krzysztof J.;Helmer, Karl G.;Jenkinson, Mark;Keator, David B.;Nichols, B. Nolan;Poline, Jean-Baptiste;Reynolds, Richard;Sochat, Vanessa;Turner, Jessica;Nichols, Thomas E.
通讯作者：
Nichols, Thomas E.
影响因子：
48
作者：
Chhetri, Raghav K.;Amat, Fernando;Kellerbeams, Philipp J.
通讯作者：
Kellerbeams, Philipp J.