In a recent publication [3rd International Conference on Surface Metrology, Annecy, France, 2012, p. 1] it was shown that surface roughness measurements made using a focus variation microscope (FVM) are influenced by surface tilt. The effect appears to be most significant when the surface has microscale roughness (Ra≈50 nm) that is sufficient to provide a diffusely scattered signal that is comparable in magnitude to the specular component. This paper explores, from first principles, image formation using the focus variation method. With the assumption of incoherent scattering, it is shown that the process is linear and the 3D point spread characteristics and transfer characteristics of the instrument are well defined. It is argued that for the case of microscale roughness and through the objective illumination, the assumption of incoherence cannot be justified and more rigorous analysis is required. Using a foil model of surface scattering, the images that are recorded by a FVM have been calculated. It is shown that for the case of through-the-objective illumination at small tilt angles, the signal quality is degraded in a systematic manner. This is attributed to the mixing of specular and diffusely reflected components and leads to an asymmetry in the k-space representation of the output signals. It is shown that by using extra-aperture illumination or tilt angles greater than the acceptance angle of aperture (such that the specular component is lost), the incoherent assumption can be justified once again. The work highlights the importance of using ring-light illumination and/or polarizing optics, which are often available as options on commercial instruments, as a means to mitigate or prevent these effects.
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http://dx.doi.org/10.1364/AO.55.003555 | DOI Listing |
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commonly used reference-based and reference-free image quality metrics on a unique dataset with real motion artifacts. We further analyze the image quality metrics' robustness to typical pre-processing techniques.
View Article and Find Full Text PDFBiochem Pharmacol
January 2025
School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India. Electronic address:
Breast cancer (BC) is the most prevalent type of cancer in women worldwide and it is classified into a few distinct molecular subtypes based on the expression of growth factor and hormone receptors. Though significant progress has been achieved in the search for novel medications through traditional and advanced approaches, still we need more efficacious and reliable treatment options to treat different types and stages of BC. Sirtuins (SIRT1-7) a class III histone deacetylase play a major role in combating various cancers including BC.
View Article and Find Full Text PDFPLoS One
January 2025
School of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Introduction: One of the key strategies to achieve the sustainable development goal by reducing maternal deaths below 70 per 100,000 is improving knowledge of obstetric danger signs (ODS). However, mothers' knowledge of ODS is low in general and very low in rural settings, regardless of local and national efforts in Ethiopia. Further, there is significant variation of ODS knowledge among women from region to region and urban/rural settings.
View Article and Find Full Text PDFPsychol Rev
January 2025
Department of Psychology, State University of New York at Albany.
Cognitive scientists and neuroscientists are increasingly deploying computational models to develop testable theories of psychological functions and make quantitative predictions about cognition, brain activity, and behavior. Computational models are used to explain target phenomena such as experimental effects, individual, and/or population differences. They do so by relating these phenomena to the underlying components of the model that map onto distinct cognitive mechanisms.
View Article and Find Full Text PDFGlob Chang Biol
January 2025
Department of Biology, University of Southern Denmark, Odense, Denmark.
The concept of "blue carbon" is, in this study, critically evaluated with respect to its definitions, measuring approaches, and time scales. Blue carbon deposited in ocean sediments can only counteract anthropogenic greenhouse gas (GHG) emissions if stored on a long-term basis. The focus here is on the coastal blue carbon ecosystems (BCEs), mangrove forests, saltmarshes, and seagrass meadows due to their high primary production and large carbon stocks.
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