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Topics soon to be featured include: Optimal transport for single-cell and spatial omics, Stimulated emission depletion microscopy, Microbial electrodes and Quartz crystal microbalance.
Spatial multiomics is an interdisciplinary field combining all molecular omics using advanced imaging techniques to explore interactions within tissues and cells. In this Primer, Carstens et al. examine current technologies for quantification across biological scales and discuss considerations for establishing cross-disciplinary projects.
Holotomography is a 3D, label-free optical imaging method for visualizing living tissues and cells. In this Primer, Kim et al. discuss the implementation of holotomography in various applications ranging from cell biology to biophysics and biotechnology.
The Fourier transform is a mathematical tool for analysing signals that vary in space or time via a transform into the frequency domain. This Primer explores how the Fourier transform is used in analytical science, particularly for spectroscopic data, with an overview of theoretical and experimental considerations.
Tip-enhanced Raman scattering (TERS) can be used to access the molecular composition and structure of surfaces with extreme lateral and depth resolution, down to the nanometre scale and beyond. In this Primer, Höppener et al. discuss the underlying physical principles driving the signal enhancement and lateral resolution of TERS.
Element-specific electronic properties can be probed using resonant inelastic X-ray scattering (RIXS). A combination of X-ray absorption and emission, RIXS can investigate collective excitations in energy and momentum space. This Primer explores both valence and core RIXS, including background theory, experimental set-up, data analysis and example applications.
Metal–organic frameworks have a range of desirable properties that make them suitable for application in drug delivery, imaging and new treatment modalities. In this Primer, Lázaro et al. discuss the best practices in synthesis and characterization of metal–organic frameworks for biomedicine.
Whole-brain modelling is an essential tool that provides relevant insights for neuroscientists as they work to discover the fundamental principles of healthy brain function.
Single-case experimental designs are rapidly growing in popularity. This popularity needs to be accompanied by transparent and well-justified methodological and statistical decisions. Appropriate experimental design including randomization, proper data handling and adequate reporting are needed to ensure reproducibility and internal validity. The degree of generalizability can be assessed through replication.
Bayesian optimization is a promising approach towards a more environmentally friendly chemical synthesis, in line with the Sustainable Development Goals. It can aid chemists to explore vast chemical spaces and find green reaction conditions with few experiments, decreasing resource consumption and waste generation while reducing discovery timelines and costs.
To improve early-stage research in the field of RNA lipid nanoparticles, there are several best practices to be considered for the collection, interpretation and reporting of characterization data.
To ensure a sustainable future and combat food scarcity, we must boost agricultural productivity, improve climate resilience and optimize resource usage. There is untapped potential for dense wireless sensor networks in agriculture that can increase yields and support resilient production when linked to smart decision and control systems.