Nature Methods
@naturemethods
Followers
152K
Following
2K
Media
2K
Statuses
6K
Nature Methods publishes cutting-edge methods, tools, analyses, resources, reviews, news and commentary, supporting life sciences research. Tweets by editors.
New York
Joined March 2011
The wait is over!! We are thrilled to announce that we have chosen Spatial Proteomics as 2024’s Method of the Year! 🥳 For more on Spatial Proteomics and a road map to this special issue, please see this month’s Editorial or read on in this thread. https://t.co/phXooJzJda
12
300
877
In our November issue we feature several papers on the theme of tools for cell segmentation and tracking. For a roadmap to the issue, read our Editorial. https://t.co/Fusdt0Z2oB
0
3
15
Our November issue is now live! 🎉 https://t.co/PBA3WcH2Wh On the cover, cell tracking in a developing zebrafish embryo visualized using Ultrack. Cover by Alexandre Dizieux, Jordão Bragantini, Loic Royer, Merlin Lange, CZ Biohub. Paper here: https://t.co/SuOLwJUfl7
0
19
108
u-Segment3D: a universal framework for 2D to 3D cell segmentation that generalizes across cell types and imaging modalities. https://t.co/cH4mypXkze
nature.com
Nature Methods - u-Segment3D is a universal framework that translates and enhances 2D instance segmentations to a 3D consensus instance segmentation without training data. It performs well across...
0
25
90
For a quick summary, read the Research Briefing on this work, here: https://t.co/xuiIRpGBLe
By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data. @gjhuizing @JulesSamaran @gabrielpeyre @cantinilab
https://t.co/dG7HBQ09j8
0
1
4
nELISA: a miniaturized sandwich immunoassay that serves as a massively scalable platform for quantitative proteomics. https://t.co/FlLah55HUn
0
23
124
Monod fits biophysically motivated models to single-cell transcriptomics data, providing insights into gene expression dynamics. @goringennady @lpachter @mariacarilli @johnjvastola
https://t.co/zx27cbPvZS
0
15
63
Read the Research Briefing on this work, here: https://t.co/NNLo8jZSGz
0
0
0
CABLE: a method that uses information about cell or nuclear shape to infer fiber tracts in the brain. https://t.co/ujAdJll8mt
1
2
13
Read the Research Briefing on this work, here: https://t.co/NNLo8jZSGz
0
0
1
CABLE: a method that uses information about cell or nuclear shape to infer fiber tracts in the brain. https://t.co/ujAdJlkAwV
1
0
3
Read the Research Briefing on this work, here: https://t.co/NNLo8jZSGz
0
0
0
CABLE: a method that uses information about cell or nuclear shape to infer fiber tracts in the brain. https://t.co/ujAdJll8mt
1
0
1
Also check out the Research Briefing on this work, here: https://t.co/iyaEae1wBQ
0
1
5
Squidiff: a diffusion-based model to predict transcriptome response to perturbations. https://t.co/UcXhHZJzrg
5
96
615
Read the Research Briefing on the work, here: https://t.co/2oIkJaZsDz
0
1
4
ESPRESSO: a method that extracts functional information about organelles for deep spatiotemporal phenotyping at the single cell level. https://t.co/a2d7FGhJLT
2
20
83
Cyclone, an acyclovir-controlled poison exon cassette, enables regulation of transgene and endogenous gene expression with minimal background. https://t.co/3pDMqZBeHG
0
2
7
By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data. @gjhuizing @JulesSamaran @gabrielpeyre @cantinilab
https://t.co/dG7HBQ09j8
nature.com
Nature Methods - By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data.
0
20
72
By pretraining on SpatialCorpus-110M, a curated resource of vast and diverse transcriptomes of dissociated and spatially resolved cells from both human and mouse, Nicheformer advances building foundation models for spatial single-cell analysis. https://t.co/QKDpUOnGWT
0
6
25
High-resolution imaging mass cytometry enables highly multiplexed imaging of nuclear foci and mitochondrial networks. https://t.co/ibWtCCJ3iS
1
22
99