Dipali G Sashital, Candacia A Greeman ... James R Williamson
Comprehensive structural and compositional characterization of the in vivo 30S ribosomal assembly landscape reveals parallel pathways for 3′-domain formation and a previously unknown role for the assembly factor RimP.
A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.
Spencer R Katz, Maksim A Yakovlev ... Keith C Cheng
Melanin staining for micro-CT imaging, using a novel application of ionic silver deposition, enables qualitative and quantitative 3D analysis of zebrafish pigmentation and reveals subtle phenotypes missed by light microscopy.
A robust method to quantitatively visualize HIV-1 replication complexes in infected cells shows that these complexes remain associated with the viral capsid beyond nuclear import in primary macrophages.
Confronting different models of chromatin accessibility with temporally resolved transcription profiles favors a scenario where transcription factors actively, rather than passively, drive chromatin from the inaccessible to the accessible state.
Eugene A Katrukha, Daphne Jurriens ... Lukas C Kapitein
Quantitative super-resolution light microscopy reveals the relative abundance and three-dimensional organization of different microtubule subsets within dendrites of mammalian neurons.
QuantEv is a fully automatic and semi-parametric method that allows quantitative analysis of the spatio-temporal distribution of complex molecular trafficking objects at the scale of the whole cell.
Harshith Bachimanchi, Benjamin Midtvedt ... Giovanni Volpe
The combination of holographic microscopy and deep learning provides a revolutionary tool for plankton ecology that will permit researchers to observe and study the life, feeding habits and reproduction of plankton with unprecedented detail.
Saskia MA de Man, Gooitzen Zwanenburg ... Renée van Amerongen
Genome editing, advanced live-cell microscopy, and computational modeling were combined to measure WNT/CTNNB1 signaling parameters at the single molecule level, revealing critical regulatory nodes in this important signal transduction pathway.
Rapid, label-free, volumetric, and automated assessment of the immunological synapse dynamics is demonstrated by combining optical diffraction tomography and deep-learning-based segmentation, providing a new option for immunological research.
