A Flexible Client-Driven 3DTV System for Real-Time Acquisition, Transmission, and Display of Dynamic Scenes

AbstractImportant dynamic processes in mechanobiology remain elusive due to a lack of tools to image the small cellular forces at play with sufficient speed and throughput. Here, we introduce a fast, interference-based force imaging method that uses the illumination of an elastic deformable microcavity with two rapidly alternating wavelengths to map forces. We show real-time acquisition and processing of data, obtain images of mechanical activity while scanning across a cell culture, and investigate sub-second fluctuations of the piconewton forces exerted by macrophage podosomes. We also demonstrate force imaging of beating neonatal cardiomyocytes at 100 fps which reveals mechanical aspects of spontaneous oscillatory contraction waves in between the main contraction cycles. These examples illustrate the wider potential of our technique for monitoring cellular forces with high throughput and excellent temporal resolution.

Download Full-text

Real-time acquisition and analysis of cardiac action potentials and twitches using a programmable digitizer and a microcomputer

Computer Methods and Programs in Biomedicine ◽

10.1016/0169-2607(87)90061-7 ◽

1987 ◽

Vol 24 (1) ◽

pp. 21-24 ◽

Cited By ~ 3

Author(s):

L.C. Sellin ◽

L. Koskinen

Keyword(s):

Real Time ◽

Action Potentials ◽

Cardiac Action ◽

Time Acquisition

Download Full-text

Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera

2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance ◽

10.1109/avss.2013.6636680 ◽

2013 ◽

Cited By ~ 14

Author(s):

Mohammad A. Haque ◽

Kamal Nasrollahi ◽

Thomas B. Moeslund

Keyword(s):

Real Time ◽

High Quality ◽

Time Acquisition

Download Full-text

Real-time, all-frequency shadows in dynamic scenes

ACM Transactions on Graphics ◽

10.1145/1360612.1360633 ◽

2008 ◽

Vol 27 (3) ◽

pp. 1-8 ◽

Cited By ~ 47

Author(s):

Thomas Annen ◽

Zhao Dong ◽

Tom Mertens ◽

Philippe Bekaert ◽

Hans-Peter Seidel ◽

...

Keyword(s):

Real Time ◽

Dynamic Scenes

Download Full-text

A Real-Time Photogrammetric System for Acquisition and Monitoring of Three-Dimensional Human Body Kinematics

Photogrammetric Engineering & Remote Sensing ◽

10.14358/pers.87.5.363 ◽

2021 ◽

Vol 87 (5) ◽

pp. 363-373

Author(s):

Long Chen ◽

Bo Wu ◽

Yao Zhao ◽

Yuan Li

Keyword(s):

Real Time ◽

Human Body ◽

Graphics Processing Unit ◽

Three Dimensional ◽

Stereo Pair ◽

Processing Unit ◽

Detection Distance ◽

Human Kinematics ◽

Graphics Processing ◽

Time Acquisition

Real-time acquisition and analysis of three-dimensional (3D) human body kinematics are essential in many applications. In this paper, we present a real-time photogrammetric system consisting of a stereo pair of red-green-blue (RGB) cameras. The system incorporates a multi-threaded and graphics processing unit (GPU)-accelerated solution for real-time extraction of 3D human kinematics. A deep learning approach is adopted to automatically extract two-dimensional (2D) human body features, which are then converted to 3D features based on photogrammetric processing, including dense image matching and triangulation. The multi-threading scheme and GPU-acceleration enable real-time acquisition and monitoring of 3D human body kinematics. Experimental analysis verified that the system processing rate reached ∼18 frames per second. The effective detection distance reached 15 m, with a geometric accuracy of better than 1% of the distance within a range of 12 m. The real-time measurement accuracy for human body kinematics ranged from 0.8% to 7.5%. The results suggest that the proposed system is capable of real-time acquisition and monitoring of 3D human kinematics with favorable performance, showing great potential for various applications.

Download Full-text