Reviews & Analysis

Expansion microscopy allows super-resolution images of diverse samples to be acquired on conventional microscopes, thus democratizing super-resolution imaging. This Perspective reviews available methods and provides practical guidance for users.

A recent approach for single-cell RNA-sequencing data uses Bayesian deep learning to correct technical artifacts and enable accurate and multifaceted downstream analyses.

This review discusses and contrasts different acoustic-tweezer technologies and their applications in biology.

A Perspective on super-resolution structured illumination microscopy reviews advances in these methods and focuses on matching user needs in terms of imaging speed, sample depth, and desired resolution with the appropriate instrumentation.

Two cell-based resources producing a broad repertoire of glycosaminoglycan structures will facilitate new applications in the glycosciences field and beyond.

A type of neural network first described in 2015 can be trained to translate between images of the same field of view acquired by different modalities. Trained networks can use information inherent in grayscale images of cells to predict fluorescent signals.

A review of cellular barcoding fundamentals and applications, including powerful approaches for lineage reconstruction, genetic screening, and the recording of cellular activity and neuroanatomy.

Building on methods from electron microscopy, researchers are applying nanoscale fluorescence imaging to address questions in structural biology.

A new article by Pandarinath et al. describes an artificial neural network model that captures some key aspects of the activity of populations of neurons in the primary motor cortex.

A new detector built for X-ray free-electron lasers provides unprecedented speed and accuracy for macromolecular crystallography at synchrotron radiation facilities—and finally allows crystallographers to harness the full capabilities of those sources.

Chemically modified DNA aptamers enable quantitative super-resolution imaging.

A review of how single-cell sequencing methods can be used to improve human stem cell and tissue engineering.

Quanti.us is a platform that allows large-scale manual image annotation by a distributed workforce through Amazon’s Mechanical Turk crowdsourcing marketplace.

Overexpression of mouse thymic-stromal-cell-derived lymphopoietin in immune-compromised mice that harbor a reconstituted human immune system rescues lymph node formation and enhances adaptive immune responses.

Two methods for controlling protein activities with small molecules provide a general solution to a long-standing challenge in mammalian synthetic biology.

This Perspective highlights recent advances in the use of nanoparticles in super-resolution microscopy and single-molecule tracking. It offers guidance for users interested in these tools and discusses potential future directions.

Two methods for comparing single-cell expression data sets help address the challenge of integrating data across conditions and experiments.

An interpretable, deep neural network produces mechanistic hypotheses on how genetic interactions contribute to whole-cell phenotypes.

The combination of metabolic RNA labeling with biochemical nucleoside conversion now adds a broadly applicable temporal dimension to RNA sequencing.

This Perspective reviews nanoscopy via stimulated emission depletion (STED), focusing on challenges for biologists and how technical advances are helping to meet these challenges.