Pub Date : 2024-12-19DOI: 10.1038/s43586-024-00378-4
This PrimeView highlights the impact of various tissues on the attentuation of low-frequency focused ultrasound signals, affecting the final intensity of signal that reaches the brain.
这个PrimeView突出了各种组织对低频聚焦超声信号衰减的影响，影响信号到达大脑的最终强度。
{"title":"Low-intensity focused ultrasound for human neuromodulation","authors":"","doi":"10.1038/s43586-024-00378-4","DOIUrl":"10.1038/s43586-024-00378-4","url":null,"abstract":"This PrimeView highlights the impact of various tissues on the attentuation of low-frequency focused ultrasound signals, affecting the final intensity of signal that reaches the brain.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-1"},"PeriodicalIF":50.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43586-024-00378-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142845204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1038/s43586-024-00368-6
Wynn Legon, Andrew Strohman
Low-intensity focused ultrasound (LIFU) is a potentially transformative form of human non-invasive neuromodulation that provides millimetre-sized focal volumes combined with adjustable focal lengths that can target small and deep human brain circuitry. This Primer is intended for those looking to conduct LIFU studies in humans and outlines several important considerations, findings and limitations of focused ultrasound for human neuromodulation. The reader is introduced to the transducer and how ultrasound energy propagates into the human brain with considerations and limitations for doing this effectively. The potential effect of parameters and delivery of LIFU is discussed including mechanisms, exposure and safety. Highlights of findings from LIFU applications in healthy and clinical populations, as well as select in vitro and animal work, are provided to help the reader understand the current state of the field and the outlook of LIFU as a scientific and clinical tool. Low-intensity focused ultrasound offers non-invasive neuromodulation, targeting deep brain structures with adjustable parameters. In this Primer, Legon and Strohman discuss mechanisms and safety considerations and highlight findings from clinical applications, emphasizing its potential as a tool in neuroscience and therapeutic interventions.
{"title":"Low-intensity focused ultrasound for human neuromodulation","authors":"Wynn Legon, Andrew Strohman","doi":"10.1038/s43586-024-00368-6","DOIUrl":"10.1038/s43586-024-00368-6","url":null,"abstract":"Low-intensity focused ultrasound (LIFU) is a potentially transformative form of human non-invasive neuromodulation that provides millimetre-sized focal volumes combined with adjustable focal lengths that can target small and deep human brain circuitry. This Primer is intended for those looking to conduct LIFU studies in humans and outlines several important considerations, findings and limitations of focused ultrasound for human neuromodulation. The reader is introduced to the transducer and how ultrasound energy propagates into the human brain with considerations and limitations for doing this effectively. The potential effect of parameters and delivery of LIFU is discussed including mechanisms, exposure and safety. Highlights of findings from LIFU applications in healthy and clinical populations, as well as select in vitro and animal work, are provided to help the reader understand the current state of the field and the outlook of LIFU as a scientific and clinical tool. Low-intensity focused ultrasound offers non-invasive neuromodulation, targeting deep brain structures with adjustable parameters. In this Primer, Legon and Strohman discuss mechanisms and safety considerations and highlight findings from clinical applications, emphasizing its potential as a tool in neuroscience and therapeutic interventions.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-27"},"PeriodicalIF":50.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142845217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-12DOI: 10.1038/s43586-024-00374-8
This PrimeView highlights the interplay between writers, readers and erasers of mRNA methylation proteins and how these are targeted for therapeutic purposes.
{"title":"mRNA m6A detection","authors":"","doi":"10.1038/s43586-024-00374-8","DOIUrl":"10.1038/s43586-024-00374-8","url":null,"abstract":"This PrimeView highlights the interplay between writers, readers and erasers of mRNA methylation proteins and how these are targeted for therapeutic purposes.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-1"},"PeriodicalIF":50.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43586-024-00374-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-12DOI: 10.1038/s43586-024-00365-9
Sharon Moshitch-Moshkovitz, Michal Sevilla-Sharon, Reut Ashwal-Fluss, Efrat Glick-Saar, Gideon Rechavi, Dan Dominissini
N6-methyladenosine (m6A) is the most prevalent internal mRNA modification. Recent research has highlighted its role as a key regulator of gene expression, influencing cellular processes and determining cell fate. Advances in techniques for global mapping of m6A, the discovery of m6A demethylases that enhance its dynamic properties and the identification of reader proteins that interact with m6A have substantially propelled this field forward. This Primer outlines the available tools for detecting and mapping m6A, discusses the strengths and limitations of each method and offers guidance on selecting the most suitable approach. Identifying and detecting m6A lays the groundwork for functional studies that address important biological and medical questions. N6-methyladenosine (m6A) is an mRNA modification influencing gene expression. Advanced methodologies for mapping m6A enhance understanding of its dynamic roles and interactions. In this Primer, Moshitch-Moshkovitz et al. discuss various detection tools and analysis techniques facilitating insights into RNA epitranscriptomics.
{"title":"mRNA m6A detection","authors":"Sharon Moshitch-Moshkovitz, Michal Sevilla-Sharon, Reut Ashwal-Fluss, Efrat Glick-Saar, Gideon Rechavi, Dan Dominissini","doi":"10.1038/s43586-024-00365-9","DOIUrl":"10.1038/s43586-024-00365-9","url":null,"abstract":"N6-methyladenosine (m6A) is the most prevalent internal mRNA modification. Recent research has highlighted its role as a key regulator of gene expression, influencing cellular processes and determining cell fate. Advances in techniques for global mapping of m6A, the discovery of m6A demethylases that enhance its dynamic properties and the identification of reader proteins that interact with m6A have substantially propelled this field forward. This Primer outlines the available tools for detecting and mapping m6A, discusses the strengths and limitations of each method and offers guidance on selecting the most suitable approach. Identifying and detecting m6A lays the groundwork for functional studies that address important biological and medical questions. N6-methyladenosine (m6A) is an mRNA modification influencing gene expression. Advanced methodologies for mapping m6A enhance understanding of its dynamic roles and interactions. In this Primer, Moshitch-Moshkovitz et al. discuss various detection tools and analysis techniques facilitating insights into RNA epitranscriptomics.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-20"},"PeriodicalIF":50.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-05DOI: 10.1038/s43586-024-00375-7
This PrimeView highlights how to measure X-ray absorption as a function of energy.
这个PrimeView强调了如何测量x射线吸收作为能量的函数。
{"title":"X-ray absorption spectroscopy","authors":"","doi":"10.1038/s43586-024-00375-7","DOIUrl":"10.1038/s43586-024-00375-7","url":null,"abstract":"This PrimeView highlights how to measure X-ray absorption as a function of energy.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-1"},"PeriodicalIF":50.1,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43586-024-00375-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-05DOI: 10.1038/s43586-024-00366-8
Christopher T. Chantler, Grant Bunker, Paola D’Angelo, Sofia Diaz-Moreno
X-ray absorption spectroscopy (XAS) is an established experimental technique for studying the electronic and local geometric structures of materials. As a short-range order structural probe, it can be applied to all states of matter: crystalline or amorphous solids, liquids and gases. The method is element selective and highly sensitive, with little compromise required to integrate complex sample environment set-ups. These characteristics make the technique suitable for applications in a range of scientific disciplines, from chemistry and catalysis to environmental science, materials science, physics, biology, medicine and cultural heritage. An XAS spectrum is obtained by measuring the modulation of the sample absorption coefficient as a function of the incident X-ray beam energy. Data are usually collected in transmission detection mode, although fluorescence and electron yield detection modes are often used. The XAS spectrum is divided into two regimes: X-ray absorption near-edge structure and extended X-ray absorption fine structure. In this Primer, an overview of XAS fundamentals is given, together with a description of the experimental set-ups, sample requirements, data analysis and possible applications. X-ray absorption spectroscopy is an element-specific and orbital-specific technique that can probe local atomic and electronic structures, without the need for long-range order. This Primer discusses the background principles, experimental methods and data analysis processes used in X-ray absorption spectroscopy to derive oxidation states, coordination and bond lengths of solids, liquids and gases.
{"title":"X-ray absorption spectroscopy","authors":"Christopher T. Chantler, Grant Bunker, Paola D’Angelo, Sofia Diaz-Moreno","doi":"10.1038/s43586-024-00366-8","DOIUrl":"10.1038/s43586-024-00366-8","url":null,"abstract":"X-ray absorption spectroscopy (XAS) is an established experimental technique for studying the electronic and local geometric structures of materials. As a short-range order structural probe, it can be applied to all states of matter: crystalline or amorphous solids, liquids and gases. The method is element selective and highly sensitive, with little compromise required to integrate complex sample environment set-ups. These characteristics make the technique suitable for applications in a range of scientific disciplines, from chemistry and catalysis to environmental science, materials science, physics, biology, medicine and cultural heritage. An XAS spectrum is obtained by measuring the modulation of the sample absorption coefficient as a function of the incident X-ray beam energy. Data are usually collected in transmission detection mode, although fluorescence and electron yield detection modes are often used. The XAS spectrum is divided into two regimes: X-ray absorption near-edge structure and extended X-ray absorption fine structure. In this Primer, an overview of XAS fundamentals is given, together with a description of the experimental set-ups, sample requirements, data analysis and possible applications. X-ray absorption spectroscopy is an element-specific and orbital-specific technique that can probe local atomic and electronic structures, without the need for long-range order. This Primer discusses the background principles, experimental methods and data analysis processes used in X-ray absorption spectroscopy to derive oxidation states, coordination and bond lengths of solids, liquids and gases.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-25"},"PeriodicalIF":50.1,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-28DOI: 10.1038/s43586-024-00361-z
Dimitrios Kazazis, Jara Garcia Santaclara, Jan van Schoot, Iacopo Mochi, Yasin Ekinci
Extreme ultraviolet lithography (EUVL) was recently adopted by the semiconductor industry as the leading-edge lithography technique for continued miniaturization of semiconductor devices in line with Moore’s law. EUVL has emerged as a critical technique, taking advantage of shorter wavelengths to achieve nanoscale feature sizes with higher precision and lower defect rates than previous lithography methods. This Primer comprehensively explores the technical evolution from deep ultraviolet to extreme ultraviolet (EUV) lithography, highlighting innovative approaches in source technology, resist materials and optical systems developed to meet the stringent requirements of high-volume manufacturing. Beginning with an overview of the fundamental principles of photolithography, the main components and functionalities of EUV scanners are described. It also covers exposure tools that support research and early development phases. Key topics — such as image formation, photoresist platforms and pattern transfer — are explained with an emphasis on improving resolution and throughput. Additionally, persistent challenges are addressed, such as stochastic effects and resist sensitivity, with insights provided into future directions for EUVL, including high-numerical aperture systems and novel resist platforms. This Primer aims to present a detailed review of current EUVL capabilities and project the future developments and evolution of EUVL in semiconductor manufacturing. Extreme ultraviolet (EUV) lithography is used to fabricate features with nanometre-scale resolution. This Primer explores how EUV lithography can be applied to manufacture semiconductor devices, explaining lithographic tools, photoresists and potential future developments.
{"title":"Extreme ultraviolet lithography","authors":"Dimitrios Kazazis, Jara Garcia Santaclara, Jan van Schoot, Iacopo Mochi, Yasin Ekinci","doi":"10.1038/s43586-024-00361-z","DOIUrl":"10.1038/s43586-024-00361-z","url":null,"abstract":"Extreme ultraviolet lithography (EUVL) was recently adopted by the semiconductor industry as the leading-edge lithography technique for continued miniaturization of semiconductor devices in line with Moore’s law. EUVL has emerged as a critical technique, taking advantage of shorter wavelengths to achieve nanoscale feature sizes with higher precision and lower defect rates than previous lithography methods. This Primer comprehensively explores the technical evolution from deep ultraviolet to extreme ultraviolet (EUV) lithography, highlighting innovative approaches in source technology, resist materials and optical systems developed to meet the stringent requirements of high-volume manufacturing. Beginning with an overview of the fundamental principles of photolithography, the main components and functionalities of EUV scanners are described. It also covers exposure tools that support research and early development phases. Key topics — such as image formation, photoresist platforms and pattern transfer — are explained with an emphasis on improving resolution and throughput. Additionally, persistent challenges are addressed, such as stochastic effects and resist sensitivity, with insights provided into future directions for EUVL, including high-numerical aperture systems and novel resist platforms. This Primer aims to present a detailed review of current EUVL capabilities and project the future developments and evolution of EUVL in semiconductor manufacturing. Extreme ultraviolet (EUV) lithography is used to fabricate features with nanometre-scale resolution. This Primer explores how EUV lithography can be applied to manufacture semiconductor devices, explaining lithographic tools, photoresists and potential future developments.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-15"},"PeriodicalIF":50.1,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-27DOI: 10.1038/s43586-024-00371-x
Haoran Zhang, Walter Gerych, Marzyeh Ghassemi
Machine learning models are increasingly being deployed in real-world clinical settings and have shown promise in patient diagnosis, treatment and outcome tasks. However, such models have also been shown to exhibit biases towards specific demographic groups, leading to inequitable outcomes for under-represented or historically marginalized communities.
{"title":"A data-centric perspective to fair machine learning for healthcare","authors":"Haoran Zhang, Walter Gerych, Marzyeh Ghassemi","doi":"10.1038/s43586-024-00371-x","DOIUrl":"10.1038/s43586-024-00371-x","url":null,"abstract":"Machine learning models are increasingly being deployed in real-world clinical settings and have shown promise in patient diagnosis, treatment and outcome tasks. However, such models have also been shown to exhibit biases towards specific demographic groups, leading to inequitable outcomes for under-represented or historically marginalized communities.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-2"},"PeriodicalIF":50.1,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1038/s43586-024-00363-x
John Healy, Leland McInnes
Uniform manifold approximation and projection is a nonlinear dimension reduction method often used for visualizing data and as pre-processing for further machine-learning tasks such as clustering. In this Primer, we provide an introduction to the uniform manifold approximation and projection algorithm, the intuitions behind how it works, how best to apply it on data and how to interpret and understand results. Uniform manifold approximation and projection is a dimensionality reduction technique used to visualize and understand high-dimensional data. In this Primer, Healy and McInnes outline the use of the uniform manifold approximation and projection algorithm and its application to diverse data.
{"title":"Uniform manifold approximation and projection","authors":"John Healy, Leland McInnes","doi":"10.1038/s43586-024-00363-x","DOIUrl":"10.1038/s43586-024-00363-x","url":null,"abstract":"Uniform manifold approximation and projection is a nonlinear dimension reduction method often used for visualizing data and as pre-processing for further machine-learning tasks such as clustering. In this Primer, we provide an introduction to the uniform manifold approximation and projection algorithm, the intuitions behind how it works, how best to apply it on data and how to interpret and understand results. Uniform manifold approximation and projection is a dimensionality reduction technique used to visualize and understand high-dimensional data. In this Primer, Healy and McInnes outline the use of the uniform manifold approximation and projection algorithm and its application to diverse data.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-15"},"PeriodicalIF":50.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：