Results 101 to 110 of about 4,469,643 (384)

ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images [PDF]

, 2023
Xiao Liang, Shan Lin, Fei Liu, Dimitri A. Schreiber, Michael C. Yip   +4 more
openalex   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

EFFICIENT BLOCK MATCHING ALGORITHMS FOR MOTION ESTIMATION IN H.264/AVC [PDF]

ICTACT Journal on Image and Video Processing, 2015
In Scalable Video Coding (SVC), motion estimation and inter-layer prediction play an important role in elimination of temporal and spatial redundancies between consecutive layers.
P. Muralidhar, C.B. Rama Rao
doaj  

Relative Importance of Binocular Disparity and Motion Parallax for Depth Estimation: A Computer Vision Approach

Remote Sensing, 2019
Binocular disparity and motion parallax are the most important cues for depth estimation in human and computer vision. Here, we present an experimental study to evaluate the accuracy of these two cues in depth estimation to stationary objects in a static
Mostafa Mansour, Pavel Davidson, Oleg Stepanov, Robert Piché   +3 more
doaj   +1 more source

Wavelet-Based Fluid Motion Estimation [PDF]

, 2012
Based on a wavelet expansion of the velocity field, we present a novel optical flow algorithm dedicated to the estimation of continuous motion fields such as fluid flows. This scale-space representation, associated to a simple gradient-based optimization algorithm, naturally sets up a well-defined multi-resolution analysis framework for the optical ...
Dérian, Pierre, Héas, Patrick, Herzet, Cédric, Mémin, Etienne   +3 more
openaire   +2 more sources

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

FEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani, Tobias Dreyer, Meriem Naim, Rea Lo Dico, Natalia A. Ignatenko, Viktor Magdolen, Dalila Darmoul   +6 more
wiley   +1 more source

Dense Motion Estimation for Smoke

, 2016
Motion estimation for highly dynamic phenomena such as smoke is an open challenge for Computer Vision. Traditional dense motion estimation algorithms have difficulties with non-rigid and large motions, both of which are frequently observed in smoke ...
A Doshi, AN Strahler, C Li, D Auroux, D Garcia, DA Vila, DJ Butler, G Strang, G Wang, J Chen, J Gregson, J Steinhoff, L Xu, M Haindl, MJ Black, S Baker, T Brox, T Brox, T Corpetti, T Corpetti, T Xue, V Lakshmanan, Z Zhang   +22 more
core   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR

, 2017
We introduce a novel method for odometry estimation using convolutional neural networks from 3D LiDAR scans. The original sparse data are encoded into 2D matrices for the training of proposed networks and for the prediction.
Herout, Adam, Hradis, Michal, Spanel, Michal, Velas, Martin   +3 more
core   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source