Confocal raman - Globe Thesis

Keyword [Confocal raman] Result: 1 - 20 \| Page: 1 of 2
1.	Study On Extremely Fast Time Resolution And Local Field Spatial Resolution Spectroscopy And Dynamics
2.	The Study On Lubricating Oil Fingerprints By Using Microscopic Confocal Raman Spectra
3.	Revealing The Cell Structure And Chemical Formation Of Bamboo With Near-infrared And Confocal Raman Microscopy
4.	Raman Spectroscopic Studies On The Hygroscopicity Of Mixed Organic/Inorganic Aerosol
5.	Spontaneous And Stimulated Raman Spectroscopy Research On Dynamics And Thermodynamics Of The Hygroscopicity Of Magnesium Salt Aerosols
6.	The Study On Fingerprint Identification Of Crude Oil With Microscopic Confocal Raman Spectrum
7.	The Construction And Application Of High Frequency Alternating Current Heated Microelectrode Technology
8.	Research On Effect Of Point Defects On Structure And Properties Of Vanadium Oxide
9.	Component Elucidation And Mechanism Study On Enhancing Enzymatic Saccharification Of Eucalyptus Grandis � E.Urophylla And Energy Crops
10.	Ultrafast Spectroscopy And Dynamics Of Several Model Nanosystems As Well As Local-Field Spatial-Resolved Spectroscopy And Imaging
11.	Study On The Biochemical Features Of Squamous Cell Carcinoma Using Raman Spectroscopy
12.	Enhanced Biological Phosphorus Removal Process And Raman Spectroscopy Analysis
13.	Study On The High-stablity Reflective Micro-area Raman Spectrum Measuring Technique
14.	Research On The Space Resolution Of Confocal Raman Spectroscopy
15.	Identification Of Clostridium Botulinum By Confocal Raman Microscopy
16.	Detection of skin abnormalities using confocal Raman microspectroscopy
17.	Raman spectroscopy and microscopic Raman imaging with applications of volume holographic optical elements
18.	Study On Pathological Evolution Of Breast Cancer By Confocal Raman Microscopy Imaging
19.	Study On The Therapy Mechanisms Of The Microwave Ablation Of Lung Squamous-cell Carcinoma By Confocal Raman Microspectral Imaging
20.	Detection Of Lung Adenocarcinoma Cells Based On Machine Learning And Raman Spectroscopy
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