INT SOC STEREOLOGY
Pores are ubiquitous in nature and tend to be extremely complex. Watershed is standard imaging tool in many applications for pore estimation because of its efficiency to capture closed pores. However, oftentimes materials do not have clearly delineated borders, making it difficult to properly pinpoint pore centers and characterize the material structure. With solid understandin…
Weibel-Palade (WP) bodies are often rod shaped endothelial cell organelles playing a role in blood coagulation processes. In 1962, E.R. Weibel first observed a longitudinal transect of one such organelle in an electron micrograph, measuring about 0.06 µm × 1.0 µm. He noticed that the a priori probability of such an event - analogous to that of hitting both ends of a rod by a ra…
Image-based disease diagnosis and treatment have long been used to enhance human health and well-being. Recent advancements in imaging and image processing technologies have spurred significant research in this field, leading to improvement in image modalities that allow better representation of features, ultimately helping healthcare practitioners make more precise diagnoses a…
Histochemical studies of striated muscles are the most widely used tool for examining their functional properties. The fibres that make up these muscles can be identified by revealing the enzymes involved in contraction, which makes it possible to determine whether they perform resistance (aerobic) or strength (anaerobic) functions. These functions are analysed by comparing the…
Correlative light and electron microscopy (CLEM) combines the molecular specificity of fluorescence light microscopy with the ultrastructural resolution of electron microscopy (EM), enabling molecularly defined cellular structures to be localised and interpreted within their cellular ultrastructural context. Although cryo-CLEM, super-resolution CLEM, and volume EM have substant…
UAV photogrammetry constitutes a fundamental technology for the lifecycle maintenance and digital twin construction of large-scale transport infrastructure. However, standard Structure-from-Motion (SfM) pipelines frequently falter in scenarios characterized by weak textures, such as asphalt, and repetitive patterns. This deficiency leads to severe feature ambiguity and sparse r…
Advances in optimization theory have been made systematically by the desire to solve more and more complicated geometric structures that are realised in contemporary applications. This is a rigorous investigation of monotone vector fields and proximal algorithms in the deep geometrical setting of generalized metric spaces (G-metric spaces). Our study fills a general deficiency …
A variety of methodologies are available for the study of cell migration in vitro which has major function in physiological and pathophysiological processes even in cancer metastasis. The in vitro scratch assay is widely utilized for cell migration analysis. The straightforward, simple, and inexpensive procedure is performed manually; demonstrated to exhibit a high degree of si…
The processes of morphogenesis during animal development are complex and interdependent at all organisational levels. Thus, it is beneficial to visualize morphogenesis at different scales and including 3D imaging and quantification. Here the application of a combination of complementary imaging techniques (micro-computed tomography, histology, and transmission electron microsco…
We study the discrete Cavalieri estimator under systematic sampling from a finite population, which models an object represented by a finite sequence of blocks along a sampling axis. For a fixed population size and a sample size that divides it, we characterize when the estimator has zero variance, namely exactness, through an explicit balance condition that characterizes the z…
Applying a Wiener-Khintchine type theorem for random point fields, the estimation of the pair correlation function via the frequency domain is presented, which offers certain advantages over conventional estimation, especially for large datasets. The discretization of the point data, i.e., its mapping onto a grid, can be viewed as a digital image, where this mapping includes re…
To address the issues of blurred building boundaries, small-object omission, and severe background interference in the semantic segmentation of high-resolution remote sensing imagery, this study proposes an improved method based on the Enhanced Vision Transformer Network (EViT). Specifically, this paper introduces a Grouped Cross-Cascaded Multi-Head Self-Attention (GCC-MSA) mod…
Accurate malignancy prediction in breast ultrasound imaging is challenged by limited annotated data, high inter-observer variability, and inherent noise in sonographic textures. To address these limitations, we propose a deep learning framework that synergistically integrates multiscale feature fusion and self-supervised learning (SSL) to improve diagnostic performance while mi…
Quantitative analysis of mast cell (MC) morphology and degranulation states is crucial for assessing inflammatory responses and therapeutic efficacy in biomedical research. This study presents a novel two-stage deep learning framework for the automated quantitative morphological analysis of MC degranulation states in toluidine blue-stained histological sections. We constructed …
Consider a triaxial ellipsoid K of surface area S. Fix an arbitrary point P in the interior of K, that is P ∈ K°, and generate a sectioning plane L32[P] through P, whose normal direction u is uniform random on the unit hemisphere S2+. In the ellipse of section K ∩ L32[P], let M and m denote the lengths of the major and minor principal semiaxes, respectively, and let r denote th…
Immunohistochemistry (IHC) is essential in diagnostic pathology but is often constrained by cost, time, and limited tissue availability. Virtual IHC staining, which predicts IHC stains from standard hematoxylin and eosin (H&E) images, presents a promising alternative. This study introduces a novel Conditional Generative Adversarial Network (cGAN) architecture based on a U-Net w…
Accurate diagnosis of vocal fold disorders is difficult because of subtle variations between pathological conditions. Phonovibrography (PVG), generated from high-speed videoendoscopy (HSV), documents glottal vibration patterns as static images, allowing systemic analysis. In our study, we propose PVGNet, a hybrid deep learning model combining multiscale feature extraction and c…
Skin damage is one of the most frequent side effects during radiotherapy in patients with cancer diseases. In this study, the stereological method was used to assess the level of CD31 and CD34 expression on the skin microvascular endothelial cells after radiotherapy. We collected thirty radiation-ulcer skin samples, each of which has three studied regions: area of ulcer, adjace…
Image mosaic is of significance in various areas such as object tracking and drone reconnaissance. Aiming at the problems of poor performance and high rate of false match in foggy images, an improved stitching method based on local guided KAZE and dark channel prior is proposed. First of all, the KAZE algorithm is utilized for rough feature matching. Secondly, a local fixed poi…
This study aimed to create a comprehensive statistical atlas of cerebral arteries to accurately capture variations among individuals and across different age groups. We utilized 1,336 publicly available multicenter magnetic resonance angiography (MRA) and T1-weighted MRI datasets, employing an automated blood vessel segmentation method, FFCM-MRF, to segment all blood vessels an…