scGHOST offers a computational tool to annotate single cell subcompartments from scHi-C or imaging data using graph-based learning.
Jian Ma, Kyle Xiong, Ruochi Zhang, Ray and Stephanie Lane Computational Biology Dept., CMU School of Computer Science, Carnegie Mellon University

nature.com/articles/s4159…

Out yesterday from the Singh and Carpenter labs! The CPJUMP1 Resource comprises Cell Painting images and profiles of 75 million cells treated with hundreds of chemical and genetic perturbations. nature.com/articles/s4159…

The latest version of the spike-sorting algorithm #kilosort (Kilosort4) is now out. Check out its improved performance compared to previous versions, owing to the use of a graph-based clustering approach.
Marius Pachitariu @[email protected] Carsen Stringer @[email protected] HHMI | Janelia

nature.com/articles/s4159…

Out today from the Fujita lab! The combination of light sheet illumination and reversibly switchable fluorophores enables improved structured illumination microscopy for fast, low-background super-resolution imaging in cells and spheroids. nature.com/articles/s4159…

Read the Research Briefing highlighting RoboEM, here:
nature.com/articles/s4159…

Read the Research Briefing highlighting the multimodality cell segmentation challenge, here: nature.com/articles/s4159…

For the column Lab & life, Vivien Marx🐘📬⛅️ asked principal investigators how they select postdoctoral fellows for their labs. They assess scientific qualifications and much more. nature.com/articles/s4159…

Is cell segmentation a solved problem? Maybe not yet, but the results of this multimodality cell segmentation challenge get us closer! (Spoiler, the winner is a generalist Transformer-based model). Bo Wang nature.com/articles/s4159…

DIP-MS from IMSB_ETH (@FabianFrommelt, Andrea Fossati, Matthias Gstaiger) combines affinity purification with native BN-PAGE fractionation and mass spectrometry to resolve protein complexes sharing the same target protein for deep interactome profiling.

nature.com/articles/s4159…

A new study evaluates the performance of GPT-4 for single-cell type annotation. zhicheng ji Wenpin Hou

nature.com/articles/s4159…

A new Points of Significance discusses the importance of establishing a baseline performance level when using classification models.
nature.com/articles/s4159…

A highly versatile open-top, dual view and dual illumination light sheet microscope developed by Prisca Liberali and colleagues enables live imaging of large specimens.

nature.com/articles/s4159…

Masayuki Sakamoto and colleagues have developed improved green cAMP and red calcium sensors to facilitate dual-color imaging in vivo. These sensors will allow studying the relationship between calcium and cAMP signaling. nature.com/articles/s4159…

RoboEM from the Helmstaedter lab (Moritz Helmstaedter) enables automated proofreading of EM datasets using a strategy akin to that of self-steering cars. This decreases the need for manual proofreading of segmented datasets and facilitates connectomic analyses.
nature.com/articles/s4159…

SQANTI3 is the latest version of the SQANTI tool, offering a flexible approach for quality control, curation, and annotation of long-read RNA sequencing derived transcriptomes. AnaConesa Conesa Lab

nature.com/articles/s4159…

Out today from the Stegle, Theis, and Moore labs! SpatialData is a user-friendly computational framework for exploring, analyzing, annotating, aligning and storing spatial omics data that can seamlessly handle large multimodal datasets.
nature.com/articles/s4159…