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This Perspective highlights open-source software for single-cell analysis released as part of the Bioconductor project, providing an overview for users and developers.
In two novel RNA modification mapping methods, the authors have engineered RNA enzymes and used the enzyme-mediated mutational signatures to map m6A and m1A at single-nucleotide resolution in mammalian RNA.
This Review discusses the principles, advantages and limitations of Brillouin microscopy, a non-invasive tool for measuring mechanical properties of biological samples in three dimensions.
This Perspective summarizes advances in stimulated Raman spectroscopy (SRS) instruments and probes, and highlights biological discoveries made with these technologies.
Single objective light-sheet fluorescence microscopes combine the convenience of conventional sample mounting with sensitive subcellular and super-resolution imaging of cells and tissues.
This review provides an overview of machine learning techniques in protein engineering and illustrates the underlying principles with the help of case studies.
This Perspective highlights recent applications of deep learning in fluorescence microscopy image reconstruction and discusses future directions and limitations of these approaches.
Understanding of fundamental questions in human embryology is hampered by limited access to in utero developmental events. Manfrin et al. have engineered an in vitro platform that recapitulates early morphogenic events of human development with unprecedented spatial and temporal control.
Members of the hydrogen deuterium exchange mass spectrometry (HDX-MS) community provide their ‘best practices’ recommendations for HDX-MS data collection, analysis and reporting.
The Consortium for Top-Down Proteomics presents a decision-tree-based guide to sample preparation and analysis protocols for researchers performing top-down mass-spectrometry-based analysis of intact proteins.
The interpretation of fragmentation patterns in tandem mass spectrometry is crucial for peptide sequencing, but the relative intensities of these patterns are difficult to predict computationally. Two groups have applied deep neural networks to address this long-standing problem in the proteomics field, extending theoretical spectra with an additional dimension of high-accuracy fragment ion intensities.
Py-EM and SerialEM enable automated microscope control for high-throughput data acquisition in diverse transmission electron microscopy imaging experiments.
This paper reviews the cryo-EM technique of microcrystal electron diffraction (MicroED), providing a broad overview of the technique, the unique structures determined, and the opportunities for future development.
Light-sheet fluorescence microscopes are making it possible to follow subcellular dynamics with unprecedented detail, but they are complex to build and maintain. A new method that can generate arbitrary light sheets provides much-needed simplicity and additional versatility.