scholarly journals Infrared and Raman Microscopy: Pushing the Limits of Spatial Resolution

2009 ◽  
Vol 15 (S2) ◽  
pp. 562-563 ◽  
Author(s):  
T Tague
Keyword(s):  
Spatial Resolution ◽  
Raman Microscopy

Extended abstract of a paper presented at Microscopy and Microanalysis 2009 in Richmond, Virginia, USA, July 26 – July 30, 2009

Single Layer Graphene for Estimation of Axial Spatial Resolution in Confocal Raman Microscopy Depth Profiling

2018 ◽  
Vol 91 (1) ◽  
pp. 1049-1055 ◽  
Author(s):  
Carol Korzeniewski ◽  
Jay P. Kitt ◽  
Saheed Bukola ◽  
Stephen E. Creager ◽  
Shelley D. Minteer ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Depth Profiling ◽  
Single Layer ◽  
Raman Microscopy ◽  
Single Layer Graphene ◽  
Confocal Raman Microscopy ◽  
Layer Graphene ◽  
Confocal Raman

Multichannel Hadamard Transform Raman Microscopy

1990 ◽  
Vol 44 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Patrick J. Treado ◽  
Michael D. Morris
Keyword(s):  
Spatial Resolution ◽  
Spectral Resolution ◽  
Spatial Multiplexing ◽  
Raman Microscopy ◽  
Hadamard Transform ◽  
Multichannel Detection ◽  
Spatial Multiplex

Spatial multiplexing is combined with multichannel detection in a Hadamard transform Raman microscope which provides 127 × 128 pixel images with 12 cm−1 spectral resolution. Spatial resolution of 0.6 μm per pixel has been achieved. A spatial multiplex advantage of better that 104 is demonstrated. Instrumental design details and spectroscopic images are presented.

High-spatial-resolution Raman microscopy of stress in shallow-trench-isolated Si structures

2006 ◽  
Vol 89 (23) ◽  
pp. 233505 ◽  
Author(s):  
Vladimir Poborchii ◽  
Tetsuya Tada ◽  
Toshihiko Kanayama
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Raman Microscopy

Fast Hyperspectral Raman Imaging with Confocal Raman Microscopy at Optimized Spatial Resolution

2008 ◽  
Vol 14 (S2) ◽  
pp. 782-783
Author(s):  
M Kalbac ◽  
E Lee ◽  
A Zoubir ◽  
A Whitley
Keyword(s):  
New Mexico ◽  
Spatial Resolution ◽  
Raman Microscopy ◽  
Raman Imaging ◽  
Confocal Raman Microscopy ◽  
Confocal Raman

Extended abstract of a paper presented at Microscopy and Microanalysis 2008 in Albuquerque, New Mexico, USA, August 3 – August 7, 2008

scholarly journals Improving spatial resolution of confocal Raman microscopy by super-resolution image restoration

2016 ◽  
Vol 24 (10) ◽  
pp. 10767 ◽  
Author(s):  
Han Cui ◽  
Weiqian Zhao ◽  
Yun Wang ◽  
Ying Fan ◽  
Lirong Qiu ◽  
...  
Keyword(s):  
Image Restoration ◽  
Spatial Resolution ◽  
Super Resolution ◽  
Raman Microscopy ◽  
Confocal Raman Microscopy ◽  
Resolution Image ◽  
Confocal Raman

Mechanical mapping with chemical specificity by confocal Brillouin and Raman microscopy

The Analyst ◽  
2014 ◽  
Vol 139 (4) ◽  
pp. 729-733 ◽  
Author(s):  
F. Palombo ◽  
M. Madami ◽  
N. Stone ◽  
D. Fioretto
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Raman Microscopy ◽  
Barrett’S Oesophagus ◽  
Epithelial Tissue ◽  
Label Free ◽  
Barrett's Oesophagus

Confocal Brillouin and Raman microscopies provide non-contact label-free mechanochemical mapping of epithelial tissue, Barrett's oesophagus at high spatial resolution.

New insights in weathering analysis of anhydrous cements by using high spectral and spatial resolution Confocal Raman Microscopy

2017 ◽  
Vol 100 ◽  
pp. 119-128 ◽  
Author(s):  
M. Torres-Carrasco ◽  
A. del Campo ◽  
M.A. de la Rubia ◽  
E. Reyes ◽  
A. Moragues ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Raman Microscopy ◽  
Confocal Raman Microscopy ◽  
Confocal Raman

Sub-Micron Spatial Resolution in Far-Field Raman Imaging Using Positivity-Constrained Super-Resolution

2019 ◽  
Vol 73 (8) ◽  
pp. 902-909 ◽  
Author(s):  
Dominik J. Winterauer ◽  
Daniel Funes-Hernando ◽  
Jean-Luc Duvail ◽  
Saïd Moussaoui ◽  
Tim Batten ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Chemical Properties ◽  
Super Resolution ◽  
Raman Microscopy ◽  
Raman Imaging ◽  
Optical Diffraction ◽  
Resolving Power ◽  
Raman Spectroscopic ◽  
Microscopy Data ◽  
Physical And Chemical

Raman microscopy is a valuable tool for detecting physical and chemical properties of a sample material. When probing nanomaterials or nanocomposites the spatial resolution of Raman microscopy is not always adequate as it is limited by the optical diffraction limit. Numerical post-processing with super-resolution algorithms provides a means to enhance resolution and can be straightforwardly applied. The aim of this work is to present interior point least squares (IPLS) as a powerful tool for super-resolution in Raman imaging through constrained optimization. IPLS’s potential for super-resolution is illustrated on numerically generated test images. Its resolving power is demonstrated on Raman spectroscopic data of a polymer nanowire sample. Comparison to atomic force microscopy data of the same sample substantiates that the presented method is a promising technique for analyzing nanomaterial samples.

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