This Research Topic is part of the 15-Year Anniversary of Frontiers in Cellular Neuroscience Research Topic series.
This Research Topic celebrates the 15 Year Anniversary of Frontiers in Cellular Neuroscience by freely disseminating the latest advances in applying super-resolution microscopy for neuroscience research. Super-resolution microscopy enabled some of the most impactful research recently and will continue providing key biological insights in the future.
This Research Topic article collection focuses on the applications and challenges of super-resolution light microscopy for studying the physiology and pathology of the brain. Super-resolution microscopy techniques overcome the diffraction limit of conventional light microscopy and bridge the molecular and cellular levels of organization.
Super-resolution imaging in fixed samples reveals the nanoscale organization of cells and tissues. In neuroscience, these methods are particularly useful for investigating the links between ultrastructural synapse morphology, neurophysiology, and animal behavior. Recent advances in the field allowed for real-time and quantitative super-resolution imaging in living cells and the intact brain in vivo. Thereby, these new methods become increasingly important for translational studies investigating the mechanisms and potential biomarkers in neurological disorders.
Super-resolution techniques in light microscopy will continue to evolve, allowing us to study the brain structures and mechanisms in more detail. Applying super-resolution microscopy in research requires careful experimental design, precise sample preparation, and rigorous technical control. With super-resolution techniques becoming widely available, there is a need to optimize methods and establish protocols that generate reliable and reproducible data.
Image acquisition in super-resolution microscopy is often followed up with sophisticated methods for data processing and quantitative analysis. With the advent of artificial intelligence (AI) approaches, novel algorithms will substantially improve both the speed and quality of data analysis. This Research Topic aims to compile the recent advances in super-resolution imaging and analysis methods that can be applied to study the healthy and injured brain.
The Research Topic welcomes contributions from researchers around the globe in the form of Original Research, Methods, Brief Research Reports, or Opinions and Perspectives focusing on, but not limited to the following subtopics:
? Ultrastructural and molecular alterations in neurological disorders
? Molecular organization of the synapse
? Nanoscale imaging in non-neuronal cells
? Nanoscale imaging in the extracellular space
? Data analysis in super-resolution imaging
? Open questions in neuroscience to be resolved with super-resolution light microscopy
? Methodological advances overcoming the limitations of super-resolution light microscopy
Dr. Katrin Willig has some licensed patents on STED microscopy techniques. The other Topics Editors declare no conflicts of interest with regard to their Research Topic.
This Research Topic is part of the 15-Year Anniversary of Frontiers in Cellular Neuroscience Research Topic series.
This Research Topic celebrates the 15 Year Anniversary of Frontiers in Cellular Neuroscience by freely disseminating the latest advances in applying super-resolution microscopy for neuroscience research. Super-resolution microscopy enabled some of the most impactful research recently and will continue providing key biological insights in the future.
This Research Topic article collection focuses on the applications and challenges of super-resolution light microscopy for studying the physiology and pathology of the brain. Super-resolution microscopy techniques overcome the diffraction limit of conventional light microscopy and bridge the molecular and cellular levels of organization.
Super-resolution imaging in fixed samples reveals the nanoscale organization of cells and tissues. In neuroscience, these methods are particularly useful for investigating the links between ultrastructural synapse morphology, neurophysiology, and animal behavior. Recent advances in the field allowed for real-time and quantitative super-resolution imaging in living cells and the intact brain in vivo. Thereby, these new methods become increasingly important for translational studies investigating the mechanisms and potential biomarkers in neurological disorders.
Super-resolution techniques in light microscopy will continue to evolve, allowing us to study the brain structures and mechanisms in more detail. Applying super-resolution microscopy in research requires careful experimental design, precise sample preparation, and rigorous technical control. With super-resolution techniques becoming widely available, there is a need to optimize methods and establish protocols that generate reliable and reproducible data.
Image acquisition in super-resolution microscopy is often followed up with sophisticated methods for data processing and quantitative analysis. With the advent of artificial intelligence (AI) approaches, novel algorithms will substantially improve both the speed and quality of data analysis. This Research Topic aims to compile the recent advances in super-resolution imaging and analysis methods that can be applied to study the healthy and injured brain.
The Research Topic welcomes contributions from researchers around the globe in the form of Original Research, Methods, Brief Research Reports, or Opinions and Perspectives focusing on, but not limited to the following subtopics:
? Ultrastructural and molecular alterations in neurological disorders
? Molecular organization of the synapse
? Nanoscale imaging in non-neuronal cells
? Nanoscale imaging in the extracellular space
? Data analysis in super-resolution imaging
? Open questions in neuroscience to be resolved with super-resolution light microscopy
? Methodological advances overcoming the limitations of super-resolution light microscopy
Dr. Katrin Willig has some licensed patents on STED microscopy techniques. The other Topics Editors declare no conflicts of interest with regard to their Research Topic.
