Under fluid shear, living cells deform elliptically, align in flow direction, and rotate, from which their frequency-dependent viscoelastic properties can be inferred.
Andrea Navas-Olive, Rodrigo Amaducci ... Liset M de la Prida
A new method is described to identify sharp-wave ripples from the rodent hippocampus with deep learning techniques, which may help to identify and characterize previously undetected physiological events.
With three simple steps in 48 hr, EZ Clear effectively renders adult mouse organs optically transparent while simultaneously preserving signal from synthetic and endogenous fluorescent reporters and is compatible with wholemount immunostaining and cryosectioning followed by histological or immunofluorescent staining.
Oliver Rübel, Andrew Tritt ... Kristofer E Bouchard
The NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data, and the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.
A new method for analyzing continuous psychophysics experiments estimates not only perceptual uncertainty from tracking tasks but also action variability, intrinsic costs, and subjective internal models.
Advances in robotics-assisted plant handling and automated image analysis enables the characterization of root growth dynamics for Arabidopsis accessions at late stages of development and the association of these traits with genetic variation and climatic variables.
Alejandro de la Vega, Roberta Rocca ... Tal Yarkoni
A web-based analysis platform for public fMRI data using naturalistic stimuli, leveraging state-of-the-art feature extraction models to enable more generalizable and reproducible findings.
