Webcam Laser Tracking
Webcam Laser Tracking - Related Videos
05:55
Multiple Object Tracking
0 Views •
2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In a staggeringly complex and engaging world, it is crucial to selectively process some stimuli at the expense of others. Experimental psychologists call this ability attention. Specifically, visual attention refers to the ability to selectively process aspects of a visual scene. Many paradigms used to study visual attention involve brief, punctuated, and repeated trials. However, everyday situations often place sustained demands...
14:18
Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
0 Views •
Cited by 2 •
2016
A protocol to detect and automate mode locking in a pre-adjusted nonlinear polarization rotation fiber laser is presented. The detection of a sudden change in the output polarization state when mode locking occurs is used to command the alignment of an intra-cavity polarization controller in order to find mode-locking conditions.
07:19
Cell Tracking Using Photoconvertible Proteins During Zebrafish Development
0 Views •
Cited by 17 •
2012
Here, we present a method for the photoactivated switch of photoconvertible fluorescent proteins (PCFPs) in the living zebrafish embryo and further tracking of photoconverted protein at specific time points during development. This methodology allows monitoring of cell biological events underlying different developmental processes in a live vertebrate organism.
08:21
Real Time In Vivo Tracking of Thymocytes in the Anterior Chamber of the Eye by Laser Scanning Microscopy
0 Views •
Cited by 2 •
2018
The goal of the protocol is to show longitudinal intravital real-time tracking of thymocytes by laser scanning microscopy in thymic implants in the anterior chamber of the mouse eye. The transparency of the cornea and vascularization of the graft allows for continuously recording progenitor cell recruitment and mature T-cell egress.
12:54
Implementation of a Coherent Anti-Stokes Raman Scattering (CARS) System on a Ti:Sapphire and OPO Laser Based Standard Laser Scanning Microscope
0 Views •
Cited by 13 •
2016
Coherent anti-Stokes Raman scattering (CARS) microscopy based on inherent vibration of molecule bonds permits label-free chemically selective live cell imaging. This work presents the implementation of a complementary microscopy technique on a standard multiphoton laser scanning microscope based on a femtosecond Ti:sapphire laser and an OPO laser.
FAQs
The method relies on the laser spot producing a bright, distinctive visual signal in each camera image. Image-processing procedures locate that signal and separate its position from the surrounding scene. Because the same feature can be identified across successive images, the system can follow changes in location and turn them into measurable movement rather than relying only on visual observation.
The webcam records a sequence of images rather than a single observation. Image processing identifies the spot in each image, and the changing location is represented as spatial or temporal data. This allows an experimenter to examine where the spot moved and how its position changed over time, supporting quantitative analysis of movement in an experimental setting.
A visually distinctive signal gives the image-processing step a recognizable feature to locate repeatedly. That consistency supports tracking as the spot changes position from one recorded image to the next. In practice, the approach is most useful when the laser remains identifiable in the recorded scene, because the quality of the position data depends on successfully locating the signal.
Direct observation can show that movement occurred, but tracking adds a way to represent the spot’s changing location as spatial or temporal data. This makes movement easier to quantify and compare across an experimental workflow. The approach therefore supports measurement and monitoring while retaining the accessibility of a webcam-based setup, rather than requiring observation alone.
A typical workflow begins by positioning a webcam so it can record the laser spot, followed by collecting successive images during the experiment. Image-processing methods then identify the spot in those images and determine its changing location. The resulting position information can be used for movement measurement, monitoring, alignment, or feedback, depending on the experimental objective.
In neuroscience, the technique can help monitor animal behavior and quantify responses to visual or sensory stimuli. It can also support alignment or feedback during behavioral experiments, where the changing position of a laser spot provides a measurable signal. Its accessible setup makes it relevant to workflows that need position tracking without requiring a more specialized tracking system.
The approach combines a webcam with image-processing methods to provide a relatively low-cost and flexible way to track position. That accessibility supports teaching laboratories, where students can examine image-based measurement, and prototype systems, where researchers may need to test a tracking concept before integrating it into a larger workflow. It can also support research procedures requiring real-time position tracking.