Microscopy Research and Technique最新文献

This study aimed to explore the application value of an innovative embedding and cooling component in the critical steps of fragmented tissue pathological diagnosis. Eighty small and fragmented tissue samples were collected and randomly divided into two groups. The embedding qualification rate and embedding efficiency were compared between the two groups. Seventy cases of fragmented tissue were collected, with three pieces of fragmented tissue taken from each case. The samples were randomly divided into three groups for sectioning. The wrinkle-free scores and sectioning efficiency were compared between different cooling methods. The embedding qualification rate was 90.0% in the embedding tweezer group, which was lower than 98.8% in the innovative component group (χ² = 4.24, p < 0.05). The average embedding time per sample was 25.08 ± 4.61 s in the embedding tweezer group, which was significantly longer than the 16.69 ± 3.54 s in the innovative component group (t = 12.91, p < 0.001). The wrinkle-free section scores were 8.24 ± 0.69 in the small ice block cooling group, 8.11 ± 0.74 in the freezing platform cooling group, and 8.85 ± 0.65 in the innovative component cooling group, with the innovative component cooling group scoring significantly higher than the other two groups (q = 7.40, 8.98, p < 0.01). The innovative component cooling group had a shorter average sectioning time than the other two groups (q = 3.12, 26.75, p < 0.05, 0.01). The use of the innovative embedding and cooling component optimizes the embedding and sectioning steps in the pathological diagnosis of fragmented tissue. This method is worthy of promotion and application.

Abelmoschus manihot flower (AMF), commonly cultivated in Southern China, is homology of medicine and food. In this study, microscopic observation revealed the microstructure of AMF, including upper epidermal cells and nonglandular hairs that play roles in defense and water management. Physicochemical analyses indicated that AMF powder exhibits weak acidity and low moisture content, suggesting its stability. Further fluorescence and spectroscopic analyses identified a diverse array of chemical constituents in AMF, including various flavonoids. Using ultra high performance liquid chromatography^_quadrupole exactive hybrid mass spectrometer (UHPLC-Q Exactive HFX) technology, a total of 407 compounds were identified in AMF, 79 of which were found to have a relative content exceeding 0.1%. A network pharmacological analysis identified 31 potential active components and delineated 10 core targets associated with dental caries. Molecular docking studies demonstrated that the selected active components exhibited strong binding affinities with the aforementioned core targets, particularly flavonoids such as quercetin and morin. In conclusion, this study provides a comprehensive analysis of AMF's microstructure and chemical composition, establishing a scientific foundation for its applications in the pharmaceutical and food industries, as well as in oral health for caries prevention, while also exploring its potential mechanisms of action.

Vincetoxicum capparidifolium (Wight & Arn.) Kuntze [=Tylophora capparidifolia (Wight & Arn.) Kuntze], belonging to the family Apocynaceae, is a medicinal plant species endemic to the southern Western Ghats, Tamil Nadu, India. The current study sought to investigate the macroscopic, organoleptic, microscopic, physicochemical, and proximate compositional aspects of the fresh and powdered leaf and stem portions of V. capparidifolium. The anatomical peculiarities of the leaf parts reveal a hypostomatic nature with paracytic stomata, the epidermis being made up of thin-walled cells covered with a thick cuticle (5.9 μm), and the hypodermis comprising angular collenchyma cells. The petiole is oval/rounded-ellipse with abundant nonglandular multicellular trichomes ascending from the epidermis. The hypodermis is composed of collenchymatous cells containing many calcium oxalate crystals and silica bodies. Bicollateral vascular bundles with internal and external phloem characterize the leaf, stem, and petiole parts. The stem is covered by a thin cuticle, chlorenchymatous hypodermis, and large gelatinous fiber bundles (124.29 × 81.71 μm). Secondary growth in the stem is characterized by the development of periderm and lignified vascular tissues. Bicollateral vascular bundles are overlaid by irregular sclerenchyma patches (7.07 × 5.36 μm), a parenchymatous cortex, and pith composed of thin-walled parenchyma cells. Scanning electron microscopic study of powdered plant parts disclosed the presence of fiber in the stem and a trace outline of leaf epidermal cells. X-ray diffraction analysis specified indefinite crystallinity in the plant powder (57.038-69.500 nm). Thorough examination of pH, ash content, and percentage of crude lipid confirms that V. capparidifolium exhibits sufficient quality and purity.

Ascariasis, caused by the parasitic roundworm Ascaris lumbricoides, is a major public health issue, especially in developing nations such as Pakistan. It impacts millions, causing significant morbidity through starvation, stunted growth in children, and a variety of gastrointestinal issues. The taxonomy of the Ascaris genus, notably the distinction between A. lumbricoides and Ascaris suum, has led to ongoing debate among parasitologists. Consequently, the current study intends to provide morphological characterization of A. lumbricoides from Pakistan, using scanning electron microscopy to uncover precise anatomical traits that may aid in resolving the taxonomic controversy surrounding the Ascaris genus. A cross-sectional survey of 1641 individuals was undertaken. Participants filled out structured questionnaires and provided informed consent. After anthelmintic treatment, expelled worms were collected in sterile jars, washed, and preserved in a glycerin-alcohol solution for morphometric examination. Histological examination of transverse section of female worm reproductive system was performed. Scanning electron microscopy was used to investigate the head, cuticle, and caudal regions of the worms. Statistical analyses were performed using t-tests and ANOVA, with significance determined as p ≤ 0.05. When the worms were collected, they ranged in hue from light to pale pink to reddish, then grayish-white to creamy white. Female were distinguished on their large size, straight posterior end with no copulatory bursa and vulvar waist, while male worms were dorsally curved at posterior end. Of the 90 worms measured, 33 were males and 57 were females. The adult female Ascaris worms were significantly (p ≤ 0.0001) larger in body length and width as compared to adult male worms. Furthermore, adult females from different districts had significant differences in body length (p = 0.003) and width (p = 0.00004), although male body length did not differ substantially among districts (p = 0.243). Scanning electron microscopy of A. lumbricoides revealed a head with two subventral lips and a dorsal lip, as well as dentigerous ridges and a triradiate mouth. The cuticle had thick, transversely striated patterns, with clear contrasts between the ventral and dorsal surfaces. The male's caudal area contained mammiliform precloacal papillae and a rectangular anal orifice, but the female had a knob-like structure with uneven striation pattern. The transverse section of female reproductive system consists of two large uteri containing developing eggs, coiled ovaries, and oviducts. Overall, the study revealed valuable insights on this nematode's complicated morphology. By adding new data to the current body of knowledge, this study seeks to improve our understanding of ascariasis and its implications for public health in affected regions.

The Y-organs (YOs) synthesize and secrete molting hormones, and thus regulate crustacean growth and reproduction. However, the YOs of the orange mud crab Scylla olivacea is yet to be described due to its minute size and ambiguous feature. This study describes the location, morphological characteristics, histology, and the changes of YOs at different molt stages, and examines in vitro ecdysteroid secreted by the YOs of S. olivacea. Mature male crabs (> 90 mm carapace width, CW) were used to identify the location of the YOs while male juveniles (50-65 mm CW) at three molt stages (intermoult, premoult, postmoult) were dissected for the characterization of 20-Hydroxyecdysone (20E) levels. The yellowish-white, compact, and oval-shaped YOs are located in pairs at the anterior cephalothorax region, beneath the mandibular external adductor muscle, anterior to the branchial chamber space, and around the end of the nerve tract. The YOs index and YO's cell diameter increased from postmoult to premoult; YO's diameter increased only during premoult stage. Under electron microscopy, the YO's surface morphology is rough, bumpy, network-like, and porous, with several lacunar system tubules. High concentrations of haemolymph 20E during premoult correlated with the changes in the characteristics of YOs at this stage. The presence of ecdysteroid in YOs was confirmed by high performance liquid chromatography (HPLC). The characteristics of the YOs of S. olivacea are similar to the YO descriptions of other brachyurans. The successful identification and characterization of YOs will spearhead future research on understanding its role in molt regulation of mud crabs, consequently contributing to the development and progress of crab culture and soft-shell crab industries.

Croton lobatus L. and Croton zambesicus Mull. Arg. from the family Euphorbiaceae has been used traditionally in West tropical Africa for the treatment of rheumatism, arthritis, malaria, female infertility, and dysentery. This present study was performed to generate data for quality control, standardization, and morphometrics of C. lobatus and C. zambesicus. Macroscopic and microscopic evaluations were carried out on the plants using standard procedures. Powdered samples of the leaves were used for fluorescence analysis. Chemomicroscopy and phytochemical screening were also done according to standard procedures. The 25 accessions used for morphometrics were obtained from the herbarium specimens of the Forest Herbarium Ibadan (FHI) using 23 morphological characters. The macro- and microscopic studies of the plants showed confirmation of the species identity and also showed differences in features such as leaf apex, margin, trichome type, and anticlinal walls, which can be used in differentiating C. lobatus from C. zambesicus. For the physicochemical parameters, the moisture content was above 10.0%, and total ash ranged from 9.6% ± 0.0% to 11.7% ± 0.02%, indicating low contamination of the plant samples. Acid insoluble ash values for the two plants were below 2.0%. The phytochemical screening showed the presence of alkaloids, saponins, tannins, steroids, and cardiac glycoside in both plants. The result of the multivariate analyses (Principal Component Analysis (PCA) and Cluster Analysis) revealed that six out of the 23 parameters utilized accounted for differences among C. lobatus and C. zambesicus accessions studied. The pharmacognostic features established from the evaluation of the two species of Croton could be used for their identification, thus providing appropriate characters for their standardization.

The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradually accumulate throughout Alzheimer's disease (AD), resulting in cognitive decline and functional disability. The challenges of dataset quality, interpretability, ethical integration, population variety, and picture standardization must be addressed using deep learning for the functional magnetic resonance imaging (MRI) classification of AD in order to guarantee a trustworthy and practical therapeutic application. In this manuscript Classifying AD using a finite basis physics neural network (CAD-FBPINN) is proposed. Initially, images are collected from AD Neuroimaging Initiative (ADNI) dataset. The images are fed to Pre-processing segment. During the preprocessing phase the reverse lognormal Kalman filter (RLKF) is used to enhance the input images. Then the preprocessed images are given to the feature extraction process. Feature extraction is done by Newton-time-extracting wavelet transform (NTEWT), which is used to extract the statistical features such as the mean, kurtosis, and skewness. Finally the features extracted are given to FBPINNs for Classifying AD such as early mild cognitive impairment (EMCI), AD, mild cognitive impairment (MCI), late mild cognitive impairment (LMCI), normal control (NC), and subjective memory complaints (SMCs). In General, FBPINN does not express adapting optimization strategies to determine optimal factors to ensure correct AD classification. Hence, sea-horse optimization algorithm (SHOA) to optimize FBPINN, which accurately classifies AD. The proposed technique implemented in python and efficacy of the CAD-FBPINN technique is assessed with support of numerous performances like accuracy, precision, Recall, F1-score, specificity and negative predictive value (NPV) is analyzed. Proposed CAD-FBPINN method attain 30.53%, 23.34%, and 32.64% higher accuracy; 20.53%, 25.34%, and 29.64% higher precision; 20.53%, 25.34%, and 29.64% higher NP values analyzed with the existing for Classifying AD Stages through Brain Modifications using FBPINNs Optimized with sea-horse optimizer. Then, the effectiveness of the CAD-FBPINN technique is compared to other methods that are currently in use, such as AD diagnosis and classification using a convolution neural network algorithm (DC-AD-AlexNet), Predicting diagnosis 4 years before Alzheimer's disease incident (PDP-ADI-GCNN), and Using the DC-AD-AlexNet convolution neural network algorithm, diagnose and classify AD.

Modern microscopy systems allow researchers to generate large volumes of image data with relative ease. However, the challenge of analyzing these data effectively is often hindered by a lack of computational skills. This bottleneck negatively impacts both research reproducibility and efficiency, as researchers frequently rely on manual or semi-automated analysis methods. Interactive image analysis workshops offer a valuable solution, equipping researchers with the skills and tools needed to automate image processing tasks. In this paper, we share our experiences and best practices from conducting such workshops, which emphasize the use of open-source software like ImageJ, FIJI, and Python-based tools such as JupyterLab and napari. We discuss key considerations for workshop design, logistics, and outcomes, while highlighting common pitfalls to avoid. Using two recent workshops as case studies, we also present strategies for optimizing participant engagement and learning. Our insights offer practical guidance for planning and conducting image analysis workshops and serve as a starting point for researchers looking to establish similar training initiatives and enrich their local imaging communities.

Brain tumor is a most dangerous disease and requires accurate diagnosis in a short period to ensure the best treatment. Traditional methods for brain tumor classification (BTC) are quite effective, even though usually resulting in clinical manual analysis, which takes more time and prone to errors. Initially, the input image is collected from Brain Tumor dataset. The gathered image is given to preprocessing. In preprocessing stage, trust-based distributed set-membership filtering (TDSF) is used to remove the noise. The preprocessed output is fed to the quaternion offset linear canonical transform (QOLCT) for Grayscale statistic and Haralick texture features extraction. Then the extracted features are fed to the Semantic-Preserved Generative Adversarial Network (SPGAN) for classifying the brain tumor into Glioma, Meningioma and Pituitary. Finally, Hunger Games Search Optimization (HGSO) is used to enhance the weight parameters of SPGAN. The proposed BTC-SPGAN-HGSO method attains the accuracies of 99.72% for Glioma, 99.65% for Meningioma, 99.52% for Pituitary and lowest MSE values across all tumor types, with 0.45% for Glioma, 0.39% for Meningioma, and 0.5% for Pituitary, which performs better than existing models. The simulation results highlight the effectiveness of the proposed BTC-SPGAN-HGSO approach in improving the accuracy of BTC and assist neurologists and physicians make exact decisions of diagnostic.

Traditional medicinal systems have extensively used Primula macrophylla (Primulaceae) to treat a variety conditions, including bronchitis, asthma, joint pain, fever and so forth. This study determines various pharmacognostic and phytochemical standards helpful to ensure the purity, safety, and efficacy of medicinal plant P. macrophylla. In experimental section the Intact aerial parts, powdered materials, and extracts were examined macro- and microscopically and pharmacognostic standardization parameters were determined in accordance with the guidelines given by the World Health Organization. Parameters including extractive values, ash values, and loss on drying were determined. Preliminary phytochemical tests, fluorescence analysis, and chromatographic profiling were performed for the identification and standardization of P. macrophylla. The results of macroscopic studies revealed that leaves are farinose, alternating, foliage, toothed and flowers are unbranched, hermaphroditic, large, herbaceous, round, non-woody stem, roots are adventitious. Length of leave is 11 cm, flower 3 cm, stem 38 cm and root 18 cm. Odor is clove or Eucalyptus like, irritating smell and has pungent/ bitterness. Qualitative analysis confirmed that carbohydrates are not present and saponins, terpenoid, flavonoid, phenolic, phytosterol and fixed oils are not present. The atomic absorption spectrophotometer (AAS) showed the trace amounts of Pb (1.604 mg/L), As (-12.91 mg/L), Hg (7.102 mg/L), and Cd (0.226 mg/L) present. The internal structure of the plant was examined using light microscopy (LM) and scanning electron microscopy (SEM). The plant cross-sectional scans revealed several useful botanical properties. LM and SEM revealed important diagnostic features including stomata, phloem, xylem, spiral vessels, and trichomes and so forth. We conclude that the data generated from the present study help to authenticate the medicinally important plant P. macrophylla. This study is helpful for establishing the pharmacopeia standards in accordance with WHO guidelines.