Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
This Review provides a comprehensive discussion of how methods in machine learning and computer vision have been used to improve super-resolution microscopy to gain insights into subcellular biology.
This Review introduces ten cell migration assays, offers practical guidance toward selecting the best assay for a specific biological question and describes how future advances can reveal important insights into dynamic cellular behaviors.
This Review describes the principles of data analysis for extracting quantitative data from cell migration assays. It also highlights advanced image analysis tools and offers practical guidance for interested users.
This Review introduces sensitive and multiplexable chemical probes that have transformed vibrational imaging methods such as Raman microscopy beyond label-free imaging.
This Review describes sample preparation strategies for time-resolved methods in structural biology, with a focus on cryo-EM and X-ray crystallography, including opportunities for cross-fertilization of ideas between these fields.
This Review discusses current 2D and 3D microscopy methods for imaging three-dimensional cell cultures and emerging strategies to address key challenges.
This Review synthesizes the literature from over 10 years of Cell Painting for image-based profiling and highlights how advances in this technology enable new biological discovery of cellular phenotypes and cell responses to perturbations.
This Review describes how photoswitchable probes and associated hardware innovations are poised to transform optoacoustic imaging in life sciences research.
This Review discusses statistical and computational strategies for analyzing various spatial and temporal omics data types, with an emphasis on the common modeling principles.
This Review provides an overview of computational methods recently developed for detecting and analyzing structural variants using long-read sequencing data.
This Review describes advances in cryogenic electron tomography on focused ion beam lamellae, highlighting the key benefits of this technology for in situ structural biology and discussing important future directions.
This Review covers the state of the art in applying mass spectrometry- or next-generation sequencing-based techniques for single-cell proteomics analysis, offering suggestions for maximizing the advantages of both approaches.
This Review summarizes recent methodological advances in experimental and computational tools developed in studying RNA structures, which provides a bridge for communication between both experimentalists and computational experts.
This Review covers advances in methods for studying metabolism at the subcellular level and how they have influenced our understanding of cancer biology.
