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TEMPOmap combines pulse-chase metabolic labeling with multiplexed three-dimensional in situ sequencing to simultaneously profile the age and subcellular location of individual RNA molecules from thousands of genes to reveal RNA kinetic landscapes.
PhAST is a technology for establishing de novo or modulating synaptic transmission in a light-dependent manner in C.elegans. By combining a calcium-dependent luciferase on pre-synapses with channelrhodopsin on post-synapses, light serves as a synthetic neurotransmitter.
Virtual-scanning light-field microscopy (VsLFM) uses a physics-based deep learning model to improve the quality and speed of LFM, reducing motion artifacts and enabling challenging demonstrations such as fast 3D voltage imaging in Drosophila.
Prioritized Single-Cell ProtEomics (pSCoPE) introduces the concept of using priority levels that define the temporal order of peptide analysis for single-cell proteomic analysis. Prioritized data acquisition aims to simultaneously optimize the consistency, sensitivity, depth and accuracy of protein quantification.
ERnet is a deep learning-based software tool for automatic segmentation and classification of structures in the endoplasmic reticulum. ERnet is compatible with many fluorescence imaging modalities and can uncover subtle phenotypic changes.
Line-scan Brillouin microscopy enables fast 3D imaging of mechanical properties with low phototoxicity, as shown for Drosophila and mouse embryos, as well as ascidians.
A suite of tools including positive-going voltage indicators, a high-speed two-photon microscope, and denoising software enables prolonged imaging of electrical activity in neurons with limited toxicity.
A self-inactivating variant of the CVS-N2c rabies virus enables both retrograde viral tracing and transcriptomic analyses, thereby allowing a combination of circuit mapping and molecular studies.
An unsupervised machine learning approach for anomaly detection, implemented as both a user-defined feature matrix and a self-supervised deep neural network, improves the mass sensitivity of iSCAT by a factor of 4 to below 10 kDa.
A three-photon miniature microscope with optimized light-collection efficiency facilitates imaging of neuronal activity throughout the cortex, as well as in the hippocampus, in freely moving mice.
Light-field microscopy is extended to mesoscale fields of view, allowing calcium imaging of thousands of neurons at a high frame rate and high spatial resolution.
FD-DeepLoc uses field-dependent deep learning for precise localization of spatially variant point emitters over the full chip of a modern sCMOS camera, enabling fast and high-throughput volumetric localization microscopy.
Bidirectional, cyanobacteriochrome-based light-inducible dimers (BICYCL)s enable optogenetic control of protein–protein interactions with green and red light, allowing multiplexing with existing blue light-controlled tools.