Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Exploratory Correlation Analysis of Respiratory Waveform, Instantaneous Respiratory Depth and Rate in Relation to Parasympathetic Indices During Spontaneous Breathing. [PDF]
Yagishita H, Tanabe S, Sato H.
europepmc +1 more source
ABSTRACT Purpose To present a method for quantifying dissolved 129Xe spectroscopy using singular value decomposition (SVD) and a dynamic red blood cell (RBC)/membrane ratio as a biomarker of disease. Methods A spectroscopic sequence was performed in 45 subjects (27 healthy, 12 dyspnea of unknown origin [DUO], and 6 pulmonary hypertension [PH ...
Gabriela María García Delgado +8 more
wiley +1 more source
Robustness of Topological Phases on Aperiodic Lattices. [PDF]
Li Y.
europepmc +1 more source
Recovery From Anorexia Nervosa: A Concept Analysis
ABSTRACT Aim Despite decades of research, we still know surprisingly little about how best to bring about lasting recovery from anorexia nervosa (AN). Furthermore, there is a lack of consensus in the research and treatment communities about what constitutes recovery from AN, or whether “recovery” is even an appropriate term to use in this context.
Sarah Ramsay, Kendra Allison
wiley +1 more source
A universal framework for the quantum simulation of Yang-Mills theory. [PDF]
Halimeh JC +5 more
europepmc +1 more source
Monitoring panels of sparse functional data
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
Development of Digital Sampling for Spaceborne Fourier Transform Spectrometers Using Dual Reference Channel. [PDF]
Appiani A, Scaccabarozzi D, Saggin B.
europepmc +1 more source
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth +2 more
wiley +1 more source
A New Approach to Statistical Inference for Functional Time Series
ABSTRACT The analysis of time‐indexed functional data plays an important role in the field of business and economic statistics. In the literature, statistical inference for functional time series often involves reducing the dimension of functional data to a finite dimension K$$ K $$, followed by the use of tools from multivariate analysis.
Hanjia Gao, Yi Zhang, Xiaofeng Shao
wiley +1 more source

