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Showing 1–3 of 3 results

Advanced filters: Author: Elena Buglakova Clear advanced filters

Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer

Buglakova et al. present ¹³C-SpaceM, a method that combines stable isotope tracing with imaging mass spectrometry thus enabling spatial analysis of lipid dynamics with near-single-cell resolution in tissues.

Elena Buglakova
Måns Ekelöf
Theodore Alexandrov
ResearchOpen Access09 Sept 2024
Nature Metabolism

Volume: 6, P: 1695-1711
Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression

Spotiflow uses deep learning for subpixel-accurate spot detection in diverse 2D and 3D images. The improved accuracy offered by Spotiflow enables improved biological insights in both iST and live imaging experiments.

Albert Dominguez Mantes
Antonio Herrera
Martin Weigert
Research06 Jun 2025
Nature Methods

Volume: 22, P: 1495-1504
Single-molecule sensing of peptides and nucleic acids by engineered aerolysin nanopores

Aerolysin pores have potential to improve the accuracy of DNA sequencing and single-molecule proteomics. Here, the authors rationally design a set of mutated pores to achieve a more accurate detection of peptides and nucleic acids.

Chan Cao
Nuria Cirauqui
Matteo Dal Peraro
ResearchOpen Access29 Oct 2019
Nature Communications

Volume: 10, P: 1-11