Nature Reviews Methods Primers自然综述：方法导论
Nature Reviews Methods Primers(英文缩写 NAT REV METHOD PRIME),ISSN 2662-8449,eISSN 2662-8449,中文译名:自然综述：方法导论 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2022 | 39.500 | N/A |
| 2023 | 50.100 | Q1 |
| 2024 | 56.000 | Q1 |
| 2025 | 54.200 | Q1 |
Nature Reviews Methods Primers 最新收录文献
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1. Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry.
PMID:日期:2026-06-18Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a powerful molecular imaging technology that is capable of imaging a wide range of molecular classes at cellular resolution. This Primer includes an overview of basic imaging mass spectrometry concepts, instrumentation, processing approaches, and advanced applications. We also address key challenges and considerations with an eye on how to optimize instrumentation and methods to overcome issues with spatial resolution, sensitivity, and specificity.
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2. Towards credible digital twins for basic and preclinical research.
PMID:日期:2026-01-08Digital twins are well established in industrial settings, but there has not been wide adoption in biomedical settings. Digital twins for biomedical applications are now possible with the inclusion of artificial intelligence and the potential to combine mechanistic and clinical models that learn and adjust for human variability.
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3. Laser capture microdissection.
PMID:日期:2025-12-24The tissue microenvironment was once viewed as an impossibly complex heterogeneous ecosystem. Today, tools and data analysis methods probe tissues at multiple resolution levels, from subpopulations to individual cells and individual molecules. Laser capture microdissection (LCM) was one of the first technologies enabling spatial molecular interrogation in tissues, enabling the extraction of precise regions of tissue for downstream acquisition and analysis of multiple classes of molecular analytes - including nucleic acids, proteins, metabolites and lipids. By physically isolating targeted cells or tissue compartments under microscopic visualization, LCM preserves spatial context for downstream multiomic profiling. The approach is agnostic to tissue type, molecular target and analytical tool, providing a powerful platform for spatially resolved analysis of tissue heterogeneity, microenvironment interactions and region-specific signatures. The attributes of LCM have drawn a large and diverse community of users who have imaginatively elevated the technology and its applications far beyond the early versions of LCM. In this Primer, we provide examples of how and when to use LCM and discuss its use with other spatial profiling platforms, providing an essential component of large-scale clinical research trials, revealing disease mechanisms and identifying predictors of therapeutic efficacy. Finally, we explore how the next generation of LCM and companion technologies will help to shape the personalized, designer therapies of the future.
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4. Ptychography at all wavelengths.
PMID:日期:2025-10-30Ptychography is a computational imaging technique that operates across multiple wavelength regimes, from electron (picometres) to X-ray (~0.1 nm), extreme ultraviolet (~10 nm), and visible light (micrometres). By reconstructing both amplitude and phase from diffraction patterns, ptychography enables high-resolution, quantitative imaging without conventional limitations imposed by lens-based optics. Ptychography has enabled advances across a range of scales: achieving record-breaking atomic resolution with electron microscopy, becoming an indispensable tool at X-ray synchrotron facilities worldwide, and overcoming the trade-offs between resolution and field-of-view in optical imaging. This Primer provides a unified treatment of ptychography across these wavelength regimes. First, we discuss theoretical foundations, reconstruction algorithms, experimental considerations and wavelength-specific challenges. We then give examples of raw and processed data from various configurations and wavelengths. Next, we highlight key applications of ptychography in life sciences, materials science and industry. We also discuss data standards, open-source software implementations, and best practices for ensuring reproducibility across different wavelength regimes. Finally, we consider limitations and future opportunities for ptychography. Together with accompanying datasets and code implementations, this Primer aims to serve newcomers and experienced practitioners in the field, facilitating broader adoption of ptychography across different disciplines.
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5. Diversity Oriented Clicking for Modular Synthesis.
PMID:日期:2025-08-07Diversity Oriented Clicking (DOC) fuses the reliability of classical click reactions with the versatility of Fluoride Exchange (FEx) chemistry, in which fluorine atoms bound to sulfur or phosphorus serve as highly selective reaction handles. This integrated platform forms covalent bonds rapidly and under mild, biocompatible conditions, broadening the synthetic toolkit for building molecular complexity. By employing DOC workflows, researchers can create structurally diverse compound libraries and explore previously inaccessible regions of chemical space. DOC holds particular promise in drug discovery where it accelerates the profiling of protein function in disease contexts and streamlines the design, synthesis, and high-throughput screening of novel therapeutic candidates.
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6. In vivo microelectrode arrays for neuroscience.
6. 用于神经科学的体内微电极阵列PMID:日期:2025-05-08Microelectrode arrays (MEAs) are devices capable of recording extracellular action potentials (spikes) from many neurons simultaneously and with high spatial and temporal resolution. MEAs have emerged as an invaluable tool for understanding how networks of neurons govern complex sensory, motor and decision-making processes. In this Primer, we introduce various in vivo MEA designs and describe their construction, characterization and applications. We describe approaches for effective device implantation and the use of MEA recordings in behavioural experiments. We then discuss strategies for obtaining high-quality and stable electrophysiological recordings, including through mitigating the foreign body reaction. We introduce the reader to spike sorting approaches with a focus on semi-automated sorting of high-channel-count data, as well as to the analysis of sorted spikes and their uses. Finally, we cover future trends and emerging MEA technology designed to expand current capabilities and overcome limitations, with a focus on biomimetic and multifunctional devices. This Primer should provide the reader with a foundation in the fundamental principles of MEA technology for in vivo use.
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7. Droplet-based bioprinting.
7. 基于液滴的生物打印PMID:日期:2025-04-24Three-dimensional (3D) bioprinting facilitates the automated patterning of biological entities (such as cells and tissue building blocks) with or without scaffolding biomaterials. The technique enables fabrication of highly organized structures that recapitulate the physiological and biological functions of native tissues. Droplet-based bioprinting (DBB) is unique among the existing bioprinting modalities in its ability to handle and manipulate bioprinting at the cellular level, as well as to develop complex 3D constructs in a high-throughput manner. As an evolving bioprinting modality, DBB has greatly advanced our understanding of cell interactions, tissue and organ formation, and human disease. This Primer gives an overview of the methodology of DBB, detailing its various modalities and its associated hardware and software, including the selection of bioinks and substrates, as well as their interactions and compatibility with different DBB sub-modalities. Finally, recent advances and several limitations of DBB are summarized and considerations are discussed for potential improvements to the technology in the future.
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8. Analysis of metagenomic data.
8. 宏基因组数据分析PMID:日期:2025-01-23Metagenomics has revolutionized our understanding of microbial communities, offering unprecedented insights into their genetic and functional diversity across Earth's diverse ecosystems. Beyond their roles as environmental constituents, microbiomes act as symbionts, profoundly influencing the health and function of their host organisms. Given the inherent complexity of these communities and the diverse environments where they reside, the components of a metagenomics study must be carefully tailored to yield accurate results that are representative of the populations of interest. This Primer article examines the methodological advancements and current practices that have shaped the field, from initial stages of sample collection and DNA extraction to the advanced bioinformatics tools employed for data analysis, with a particular focus on the profound impact of next-generation sequencing (NGS) on the scale and accuracy of metagenomics studies. We critically assess the challenges and limitations inherent in metagenomics experimentation, available technologies and computational analysis methods. Beyond technical methodologies, we explore the application of metagenomics across various domains, including human health, agriculture and environmental monitoring. Looking ahead, we advocate for the development of more robust computational frameworks and enhanced interdisciplinary collaborations. This Primer serves as a comprehensive guide for advancing the precision and applicability of metagenomic studies, positioning them to address the complexities of microbial ecology and their broader implications for human health and environmental sustainability.
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9. Image-based 3D genomics through chromatin tracing.
9. 通过染色质追踪基于图像的3D基因组学PMID:日期:2024-10-24Correct organization of higher-order genome folding is essential for the regulation of gene expression, DNA replication and other genomic functions. Technological advances in high-throughput sequencing-based methods have allowed for systematic profiling of the fundamental architectural features of chromatin organization at the genome level. However, how chromatin is folded in 3D space at single-cell and single-chromosome-copy resolution in intact cells and tissues has been a long-standing question owing to a lack of appropriate methodology. Recent advances in chromatin labelling, imaging and automated fluidics technologies have led to the development of chromatin tracing, enabling direct mapping of the 3D chromatin folding trajectory in situ at the single-cell and single-molecule level. Within nearly a decade of its development, chromatin tracing has been applied at different genomic scales and to a spectrum of cell types and model organisms, improving our understanding of the structures, mechanisms and functions of chromatin organization in various biological and medical areas. In this Primer, we introduce the experimental principles, data analysis procedures and current applications of chromatin tracing. We describe how chromatin tracing can be combined with multimodal imaging and genetic screening technologies and provide a perspective on the limitations of current chromatin tracing approaches and the direction of technological developments for filling major gaps in discoveries.
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10. Spatial Multiplexing and Omics.
PMID:日期:2024-08-01Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, limitations and our outlook for the future are provided. Our goal is to unite spatial platforms and biological scales that not commonly brought together to encourage collaboration and innovation between diverse biological fields, offering a conceptional framework and an apples-to-apples comparison for understanding major technologies to foster cross-disciplinary dialogue.