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FLIRT enables spatiotemporally precise control of protein function in C. elegans by harnessing existing temperature-sensitive mutations. Proteins can be inactivated at desired sites by infrared laser light targeted to the region(s) of interest.
The Qiita web platform provides access to large amounts of public microbial multi-omic data and enables easy analysis and meta-analysis of standardized private and public data.
A computational and analytical framework enables multicolor 3D particle reconstruction of protein complexes from 2D images. The authors demonstrate the power of the approach by reconstructing native proteins within the human centriole.
Reducing the length of time that protein particles spend on a sample grid prior to freezing mitigates deleterious effects caused by particle adsorption to the air–water interface in single-particle cryo-EM.
Convolutional neural networks enable prediction of fluorescently labeled structures from three-dimensional time-lapse transmitted-light images. Applications include multiplexed long time-lapse imaging and prediction of fluorescence in electron micrographs.
An all-to-all registration approach allows for improved, high-resolution, template-free single-particle reconstruction from localization microscopy data under realistic experimental conditions such as low labeling density.
Wang et al. demonstrate that the effects of aberrations and scattering caused by the mouse skull can be reduced with three-photon microscopy. Their approach allows structural and functional imaging of the brain through an intact skull.
CDeep3M provides a user-friendly tool for deep-learning-based image segmentation via a cloud-based deep convolutional neural network. Demonstrations include challenging light, X-ray, and electron microscopy segmentation tasks.
A resource of multiple reaction monitoring–mass spectrometry transitions for quantitative analysis of biological small molecules is provided in METLIN-MRM, along with automated tools for analyzing such data in XCMS-MRM.
Slow off-rate modified aptamer (SOMAmer) reagents are small and versatile probes for DNA-PAINT super-resolution microscopy that enable multiplexed, quantitative, and high-resolution imaging in fixed and live cells.
Annotated image data are required for image analysis, to test analytical methods, and to train learning algorithms. This paper describes and characterizes a tool that allows researchers to crowdsource image-annotation tasks.
Preprocessing of localization microscopy datasets using Haar wavelet kernel (HAWK) analysis enables artifact-free analysis of high-density data for improved fixed and live-cell super-resolution microscopy.
The synthetic-diploid (Syndip) benchmark dataset, constructed from two fully homozygous long-read assemblies, provides more accurate assessments of error rates in small-variant-calling algorithms than existing benchmarks.
Active PSF shaping and adaptive optics are combined to enable 3D localization microscopy throughout thick tissues. The method was used to study the nanoscale architecture of amyloid fibrils in a mouse model of Alzheimer’s disease.
Bright reversibly switching red fluorescent proteins (rsFusionReds) with fast switching kinetics and low fatigue enable RESOLFT and MoNaLISA nanoscopy of live cells with green-orange illumination, which further reduces the risk of phototoxicity.