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Nature Methods|October 5, 2021
SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironmentZhiyuan Yuan, Qiming Zhou, Lesi Cai, et al.Nature Methods|October 5, 2021
Mass-sensitive particle tracking to elucidate the membrane-associated MinDE reaction cycleTamara Heermann, Frederik Steiert, Beatrice Ramm, et al.Nature Methods|October 5, 2021
Mass photometry enables label-free tracking and mass measurement of single proteins on lipid bilayersEric D B Foley, Manish S Kushwah, Gavin Young, et al.Nature Methods|May 2, 2022
Fluorogenic DNA-PAINT for faster, low-background super-resolution imagingKenny K H Chung, Zhao Zhang, Phylicia Kidd, et al.Nature Methods|July 25, 2022
Directed evolution of adeno-associated virus for efficient gene delivery to microgliaRui Lin, Youtong Zhou, Ting Yan, et al.Nature Methods|July 11, 2022
Integrative genome modeling platform reveals essentiality of rare contact events in 3D genome organizationsLorenzo Boninsegna, Asli Yildirim, Guido Polles, et al.Nature Methods|December 4, 2023
SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomesRuiqiao He, Junjie Zhu, Peifeng Ji, et al.Nature Methods|December 5, 2023
In vitro modeling of the human dopaminergic system using spatially arranged ventral midbrain-striatum-cortex assembloidsDaniel Reumann, Christian Krauditsch, Maria Novatchkova, et al.Nature Methods|December 5, 2023
Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentationCore Francisco Park, Mahsa Barzegar-Keshteli, Kseniia Korchagina, et al.Nature Methods|December 4, 2023
Uniform quantification of single-nucleus ATAC-seq data with Paired-Insertion Counting (PIC) and a model-based insertion rate estimatorZhen Miao, Junhyong KimPageof 344