Laser Detection System
Laser Detection System - Related Videos
14:18
Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
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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.
07:35
Lineage Labeling of Zebrafish Cells with Laser Uncagable Fluorescein Dextran
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Cited by 8 •
2011
This protocol delineates a way to label and trace the fate of small groups of cells zebrafish embryos using UV-uncaging of caged fluorescein, followed by whole mount immunolabeling to amplify the signal from the uncaged fluorescein.
09:59
An “All-laser” Endothelial Transplant
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Cited by 5 •
2015
An all laser procedure is proposed in the endothelial transplant. The surgical technique is based on the use of a femtosecond laser to prepare the donor tissue. Laser welding technique is then used to secure the donor endothelium in the correct position.
10:44
Laser Microirradiation to Study In Vivo Cellular Responses to Simple and Complex DNA Damage
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Cited by 12 •
2018
The goal of this protocol is to describe how to use laser microirradiation to induce different types of DNA damage, including relatively simple strand breaks and complex damage, to study DNA damage signaling and repair factor assembly at damage sites in vivo.
06:31
Probe-based Confocal Laser Endomicroscopy of the Urinary Tract: The Technique
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Cited by 25 •
2013
Probe-based confocal laser endomicroscopy enables real-time microscopy of the human urinary tract during cystoscopy, providing dynamic, intravital imaging of pathological states such as bladder cancer with cellular resolution. Endomicroscopy may augment the diagnostic accuracy of standard white light endoscopy and provide intraoperative image guidance to improve surgical resection.
FAQs
The system follows a linked optical path: the laser illuminates a sample or target, and optical components collect light that is emitted, reflected, or scattered. A photodetector converts that light into an electrical signal, allowing the instrument to relate measured intensity and wavelength to properties of the sample.
Coherent, focused illumination supports high sensitivity and spatial precision, helping the system detect weak signals while locating them more precisely. Signal intensity indicates how strong the detected response is, whereas wavelength contributes information for identifying or distinguishing signals. Together, these measurements help separate meaningful biological or physical responses from background noise.
Measurement quality depends on how effectively the laser illuminates the target, how well optical components collect the resulting light, and how accurately the photodetector converts it into an electrical signal. The detected intensity, wavelength, spatial precision, and ability to distinguish weak responses from background noise collectively determine how clearly the system characterizes the sample.
A basic workflow begins by directing focused laser light onto a sample or target. The system then collects emitted, reflected, or scattered light through optical components and sends it to a photodetector. The resulting electrical signal is interpreted using its intensity and wavelength, producing information about the sample or biological event under study.
Within biological techniques, these systems support fluorescence detection, microscopy, flow cytometry, and optical biosensing. Researchers select the approach according to whether they need to observe cells, measure biomolecules, examine spatial features, or detect signals from a biosensing setup. These applications extend laser-based measurement across cellular analysis, diagnostics, and research instrumentation.
Laser-based detection can help researchers monitor cells, quantify biomolecules, characterize dynamic processes, and distinguish weak signals from background noise. In practice, the measured optical response becomes an electrical signal that can be analyzed through intensity and wavelength. This supports biological measurements requiring sensitive detection and spatially precise information, including cellular analysis and diagnostics.