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C.H. performed single particle cryo-EM grid preparation, data collection and map generation with input from R.K.H. and Z.Y.
Technological advances have changed the preparation, data collection, analysis, storage, and visualization of the modern geomorphological map.
performed cloning, protein purification, immunostaining and EM data collection; H.Z. performed EM sample preparation, data collection and analysis; S.C., Y.W., J.G., K.W., W.L. and T.Z.
conceived the study; D.K. prepared proteins and performed peptide release assays; C.M., N.L., and Y.C. performed ribosome purification, sample preparation, data collection and image processing; N.G.
This work presents, by example, a tutorial on performing SANS experiments using both deuterium labeling and contrast variation, including SANS theory, sample preparation, data collection, sample quality validation, data analysis, and structure modeling.
performed EM sample preparation, data collection.
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MM study design, data interpretation, manuscript preparation; PC immunoassay performance, data interpretation; SS data interpretation, manuscript preparation; LS statistical analysis, manuscript preparation; VC study design, data interpretation, manuscript preparation; EM data collection, data interpretation.
T.Y. performed sample preparation, EM data collection and biochemical analyses; W.J. and Z.H. helped with protein purifications; G.Y. helped with nucleosome preparation; M.T., M.C., Q.W., and Y.L. helped with EM data analyses; M.L. and J.H. initiated the project; J.H. designed and supervised all the research, and wrote the manuscript with help from all other authors.
S.O.S. assisted with sample preparation and data collection.
The field has since evolved to incorporate new technologies for faster and highly automated sample preparation and data collection.
The articles in that special issue addressed three aspects of survey research: sampling design, questionnaire preparation, and data collection.
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produced data collection
conditions data collection
processes data collection
organized data collection
planned data collection
preparation data validation
preparation data acquisition
preparation data interpretation
preparation data entry
preparation data generation
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preparation data scoring
process data collection
making data collection
prepared data collection
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