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Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
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Chapter 1
Introduction
Chapter 2.1.1
Optimal Detection Angle in Sub-diffraction Resolution Photothermal Microscopy: Application for High-sensitivity Imaging of Biological Tissues
Chapter 2.1.2
Resolution Enhanced Pump-probe Microscope with a Spatial Filter
Chapter 2.1.
Reduction of Distortion in Photothermal Microscopy and its Application to the High-resolution Three-dimensional Imaging of Nonfluorescent Tissues
Chapter 2.2.1
Numerical Study of the Subtraction Threshold for Fluorescence Difference Microscopy
Chapter 2.2.2
Sub-Diffraction-Limit Imaging Using Mode Multiplexing
Chapter 2.2.3
Polarization Modulation for Fluorescence Emission Difference Microscopy
Chapter 2.2.4
Numerical Study of Superresolved Optical Microscopy with Partly Staggered Beams
Chapter 2.2.5
Resolution Enhancement of Pump-probe Microscopy with an Inverse-annular Spatial Filter
Chapter 3.1
Sub-Diffraction Resolution Pump-probe Microscopy with Shot-Noise Limited Sensitivity Using Laser Diodes
Chapter 3.2
Sensitivity Enhancement of Photothermal Microscopy with Radially Segmented Balanced Detection
Chapter 3.3
Fast 3D Visualization of Endogenous Brain Signals with High-sensitivity Laser Scanning Photothermal Microscopy
Chapter 5.2
Label-Free Imaging of Melanoma with Nonlinear Photothermal Microscopy3
Chapter 5.3
Noninvasive, Label-free, Three-dimensional Imaging of Melanoma with Confocal Photothermal Microscopy: Differentiate Malignant Melanoma from Benign Tumor Tissue
Chapter 5.4
Label-Free Imaging of Melanoma with Confocal Photothermal Microscopy: Differentiation between Malignant and Benign Tissue
Chapter 6.1
Development of a Multiplex Stimulated Raman Microscope for Spectral Imaging through Multi-channel Lock-in Detection
Chapter 6.2
Multiplex Stimulated Raman Imaging with White Probe-light from a Photonic-crystal Fiber and with Multi-wavelength Balanced Detection
Chapter 6.3
Theoretical Description for Nonlinear Dynamic Light Scattering Based on Stimulated Raman Effect (NLDLS-SRS)