Dual wavelength scanning cytophotometry (Bicoscan)

1979 ◽  
Vol 62 (1) ◽  
pp. 29-43 ◽  
Author(s):  
M. Van der Ploeg ◽  
K. Van den Broek ◽  
J. P. Mitchell
Keyword(s):  
Dual Wavelength ◽  
Wavelength Scanning ◽  
Scanning Cytophotometry

scholarly journals Non-contact ultra-widefield imaging of retinopathy of prematurity using the Optos dual wavelength scanning laser ophthalmoscope

Eye ◽  
2013 ◽  
Vol 27 (5) ◽  
pp. 589-596 ◽  
Author(s):  
C K Patel ◽  
T H M Fung ◽  
M M K Muqit ◽  
D J Mordant ◽  
J Brett ◽  
...  
Keyword(s):  
Retinopathy Of Prematurity ◽  
Scanning Laser Ophthalmoscope ◽  
Dual Wavelength ◽  
Scanning Laser ◽  
Wavelength Scanning

scholarly journals On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements

2018 ◽  
Vol 8 (2) ◽  
pp. 20170039 ◽  
Author(s):  
Zhan Li ◽  
Michael Schaefer ◽  
Alan Strahler ◽  
Crystal Schaaf ◽  
David Jupp
Keyword(s):  
Laser Scanning ◽  
Spatial Information ◽  
Information Source ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Biochemical Properties ◽  
Dual Wavelength ◽  
Wavelength Scanning ◽  
Spatial Attributes

The Dual-Wavelength Echidna Lidar (DWEL), a full waveform terrestrial laser scanner (TLS), has been used to scan a variety of forested and agricultural environments. From these scanning campaigns, we summarize the benefits and challenges given by DWEL's novel coaxial dual-wavelength scanning technology, particularly for the three-dimensional (3D) classification of vegetation elements. Simultaneous scanning at both 1064 nm and 1548 nm by DWEL instruments provides a new spectral dimension to TLS data that joins the 3D spatial dimension of lidar as an information source. Our point cloud classification algorithm explores the utilization of both spectral and spatial attributes of individual points from DWEL scans and highlights the strengths and weaknesses of each attribute domain. The spectral and spatial attributes for vegetation element classification each perform better in different parts of vegetation (canopy interior, fine branches, coarse trunks, etc.) and under different vegetation conditions (dead or live, leaf-on or leaf-off, water content, etc.). These environmental characteristics of vegetation, convolved with the lidar instrument specifications and lidar data quality, result in the actual capabilities of spectral and spatial attributes to classify vegetation elements in 3D space. The spectral and spatial information domains thus complement each other in the classification process. The joint use of both not only enhances the classification accuracy but also reduces its variance across the multiple vegetation types we have examined, highlighting the value of the DWEL as a new source of 3D spectral information. Wider deployment of the DWEL instruments is in practice currently held back by challenges in instrument development and the demands of data processing required by coaxial dual- or multi-wavelength scanning. But the simultaneous 3D acquisition of both spectral and spatial features, offered by new multispectral scanning instruments such as the DWEL, opens doors to study biophysical and biochemical properties of forested and agricultural ecosystems at more detailed scales.

Single/dual-wavelength switchable and tunable passively Q-switched erbium-doped fiber laser

2020 ◽  
Vol 111 ◽  
pp. 103519
Author(s):  
Shuangcheng Chen ◽  
Baole Lu ◽  
Zengrun Wen ◽  
Haowei Chen ◽  
Jintao Bai
Keyword(s):  
Fiber Laser ◽  
Dual Wavelength ◽  
Erbium Doped

Dual wavelength laser-induced damage threshold measurements of alumina/silica and hafnia/silica ultraviolet antireflective coatings

2015 ◽  
Vol 55 (1) ◽  
pp. 104 ◽  
Author(s):  
Marius Mrohs ◽  
Lars Jensen ◽  
Stefan Günster ◽  
Thimotheus Alig ◽  
Detlev Ristau
Keyword(s):  
Damage Threshold ◽  
Dual Wavelength ◽  
Antireflective Coatings ◽  
Dual Wavelength Laser ◽  
Laser Induced Damage
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