Laser Geometry Capture
Laser Geometry Capture - Related Videos
07:58
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
0 Views •
2025
A process is described for acquiring near-real-time metrology of weld beads and prepare the resulting geometry automatically for finite element analysis.
16:34
Laser Capture Microdissection of Mammalian Tissue
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Cited by 25 •
2007
Laser capture microscopy, also known as laser microdissection (LMD), enables the user to isolate small numbers of cells or tissues from frozen or ...
12:02
Laser Capture Microdissection of Drosophila Peripheral Neurons
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Cited by 25 •
2010
In this video-article we present a method for isolating single or multiple Drosophila da neurons from third instar larvae using the infrared capture (IR) class of Laser Capture Microdissection (LCM). RNA obtained from the isolated neurons can be readily used for downstream applications including qRT-PCR or microarray analyses.
11:04
Control of Cell Geometry through Infrared Laser Assisted Micropatterning
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2021
The protocol presented here enables automated fabrication of micropatterns that standardizes cell shape to study cytoskeletal structures within mammalian cells. This user-friendly technique can be set up with commercially available imaging systems and does not require specialized equipment inaccessible to standard cell biology laboratories.
02:57
Coordination Number and Geometry
0 Views •
2020
For transition metal complexes, the coordination number determines the geometry around the central metal ion. Table 1 compares coordination numbers to molecular geometry. The most common structures of the complexes in coordination compounds are octahedral, tetrahedral, and square planar. Coordination Number Molecular Geometry Example 2 linear [Ag(NH3)2]+ 3 trigonal planar [Cu(CN)3]2− 4 tetrahedral(d0 or d10), low oxidation...
FAQs
A scanner directs laser beams across a target surface and evaluates the returned signal to determine distance. Repeating this measurement across many locations produces a set of spatial coordinates rather than a single dimension. Successive measurements can then be combined into a three-dimensional point cloud, allowing engineers to represent complex surfaces digitally for later inspection or reconstruction.
Laser Geometry Capture records geometry without requiring extensive contact measurement. This is valuable when an object or environment contains complex shapes that would be difficult to document efficiently through direct dimensional checks. The resulting digital representation can expose deviations from design intent while reducing reliance on repeated physical measurement during engineering analysis and quality-control activities.
A three-dimensional point cloud organizes successive laser measurements into a digital description of an object or environment. Engineers can use this representation as the basis for dimensional inspection, CAD reconstruction, and reverse engineering. Because the captured points preserve spatial relationships, the model can also support documentation and evaluation of manufactured or built structures.
A typical workflow begins by directing a scanner's laser beams across the physical surface. The system determines distances from the returned signals, records measurements at successive locations, and combines them into a three-dimensional point cloud. Engineers can then use that digital output for inspection, reconstruction, documentation, or comparison with the intended geometry.
Engineers may select Laser Geometry Capture when they need to document complex geometry efficiently without extensive physical contact. The technique supports dimensional inspection, reverse engineering, and CAD reconstruction, making it useful for manufactured objects as well as built structures. It can also provide a digital record for engineering analysis when direct measurement alone is less practical.
The captured geometry can support quality control by revealing deviations from design intent, while CAD reconstruction and reverse engineering use it to reproduce or analyze existing forms. Engineering teams can also apply the digital representation to robotic guidance and documentation of built or manufactured structures. These uses extend the technique from measurement into design, inspection, and operational workflows.