Key components analysis of speckle imaging techniques

2014 ◽  
Author(s):  
Huizhe Yang ◽  
Yonghui Liang ◽  
Chengang Ren
Keyword(s):  
Imaging Techniques ◽  
Speckle Imaging ◽  
Components Analysis

scholarly journals Raman Imaging and Chemometrics Evaluation of Natural and Synthetic Beeswaxes as Matrices for Nanostructured Lipid Carriers Development

2021 ◽  
Vol 8 (32) ◽  
Author(s):  
Hery Mitsutake ◽  
Gustavo da Silva ◽  
Lígia Ribeiro ◽  
Eneida de Paula ◽  
Ronei Poppi ◽  
...  
Keyword(s):  
Structural Changes ◽  
Imaging Techniques ◽  
Nanostructured Lipid Carriers ◽  
Multivariate Curve Resolution ◽  
Initial Time ◽  
Pharmaceutical Development ◽  
Before And After ◽  
Copaiba Oil ◽  
Components Analysis ◽  
Changes Over Time

Beeswaxes are interesting solid lipids for the development of nanostructured lipid carriers (NLC), and their origin can be either natural or synthetic. Due to this difference, their performance should be distinct and unstable formulations can be generated. The objective of this work was to investigate miscibility and structural changes (polymorphism) in pre-formulations (blends of solid and liquid lipids) using synthetic and natural beeswaxes in combination with copaiba oil (a natural liquid lipid), in the concentration range of 5.0 to 50.0% (w/w). Raman spectra were acquired over a region of 4 mm2 (mapping mode), dead pixels were removed using Independent Components Analysis (ICA) and Multivariate Curve Resolution – Alternating Least Squares (MCR-ALS) was then used to generate the images. Samples were analyzed at the initial time and after 3 months, using the Distributional Homogeneity Index (DHI) and standard deviation of the histograms. The pre-formulation containing synthetic beeswax showed different structural forms before and after melting, and structural changes over time, depending on the amount of the liquid lipid incorporated. These results demonstrate how spectroscopic imaging techniques can be valuable in pharmaceutical development, as well as the importance of choosing the type and proportion of solid lipid to achieve stable NLC formulations.

Speckle Imaging Techniques

2018 ◽  
pp. 123-168
Author(s):  
C. Roggemann Michael ◽  
M. Welsh Byron
Keyword(s):  
Imaging Techniques ◽  
Speckle Imaging

Deep-space satellite-image reconstructions from field data by use of speckle imaging techniques: images and functional assessment

1997 ◽  
Vol 36 (14) ◽  
pp. 3120
Author(s):  
Charles L. Matson ◽  
Marsha Fox ◽  
E. Keith Hege ◽  
Laura Hluck ◽  
Jack Drummond ◽  
...  
Keyword(s):  
Functional Assessment ◽  
Field Data ◽  
Imaging Techniques ◽  
Satellite Image ◽  
Deep Space ◽  
Speckle Imaging ◽  
Image Reconstructions ◽  
Space Satellite

scholarly journals Chronic Monitoring of Vascular Progression after Ischemic Stroke Using Multiexposure Speckle Imaging and Two-Photon Fluorescence Microscopy

2015 ◽  
Vol 35 (6) ◽  
pp. 933-942 ◽  
Author(s):  
Christian J Schrandt ◽  
SM Shams Kazmi ◽  
Theresa A Jones ◽  
Andrew K Dunn
Keyword(s):  
Imaging Techniques ◽  
Multiphoton Microscopy ◽  
Recovery Process ◽  
Vascular Density ◽  
Speckle Imaging ◽  
Flow Measurements ◽  
Thrombotic Occlusion ◽  
Imaging Protocol ◽  
Volume Fractions ◽  
Two Photon

Monitoring the progression of the vascular structure and cerebral blood flow (CBF) after brain injury is vital to understand the neurovascular recovery process. Multiexposure speckle imaging (MESI) provides a quantitatively accurate technique for chronically measuring the postocclusion CBF perfusion of the infarct and peri-infarct regions in rodent stroke models, while multiphoton microscopy offers direct visualization of the microvascular structure. In this paper, we present imaging outcomes extending 35 days after photo-thrombotic occlusion, tracking the progression of the vasculature throughout this period. We compare MESI flow estimates within the unresolvable parenchyma with subsurface microvascular volume fractions taken with two-photon microscopy in the same regions to assess how the vascular density influences the surface-integrated MESI flow values. The MESI flow measurements and volume fractions are shown to have high correlations (r=0.90) within areas of recovering vasculature in the peri-infarct region. We also observe vascular reorientation occurring within the microvascular structure throughout the 35-day postocclusion period. With the combination of a chronic mouse model and relatively noninvasive optical imaging techniques, we present an imaging protocol for monitoring long-term vascular progression after photo-thrombotic occlusion with the potential to test the efficacy of rehabilitation and pharmacological therapies.

scholarly journals Relationships between Human Brain Structural Connectomes and Traits

2018 ◽  
Author(s):  
Zhengwu Zhang ◽  
Genevera I. Allen ◽  
Hongtu Zhu ◽  
David Dunson
Keyword(s):  
Dimensionality Reduction ◽  
Fluid Intelligence ◽  
Imaging Techniques ◽  
Brain Connectivity ◽  
Image Resolution ◽  
Data Set ◽  
Human Connectome Project ◽  
Dimensionality Reduction Technique ◽  
Components Analysis

AbstractAdvanced brain imaging techniques make it possible to measure individuals’ structural connectomes in large cohort studies non-invasively. However, due to limitations in image resolution and pre-processing, questions remain about whether reconstructed connectomes are measured accurately enough to detect relationships with human traits and behaviors. Using a state-of-the-art structural connectome processing pipeline and a novel dimensionality reduction technique applied to data from the Human Connectome Project (HCP), we show strong relationships between connectome structure and various human traits. Our dimensionality reduction approach uses a tensor characterization of the connectomes and relies on a generalization of principal components analysis. We analyze over 1100 scans for 1076 subjects from the HCP and the Sherbrooke test-retest data set as well as 175 human traits that measure domains including cognition, substance use, motor, sensory and emotion. We find that brain connectomes are associated with many traits. Specifically, fluid intelligence, language comprehension, and motor skills are associated with increased cortical-cortical brain connectivity, while the use of alcohol, tobacco, and marijuana are associated with decreased cortical-cortical connectivity.

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