Microscopy

Article Instruments & Instrumentation

Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm

P. Ajay, B. Nagaraj, R. Arun Kumar, Ruihang Huang, P. Ananthi

Summary: This article presents a novel approach to studying hyperspectral microscopic images using deep learning and effective unsupervised learning, highlighting the significance of deep learning in modern AI.

SCANNING (2022)

Article Anatomy & Morphology

Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering

Marriam Nawaz, Zahid Mehmood, Tahira Nazir, Rizwan Ali Naqvi, Amjad Rehman, Munwar Iqbal, Tanzila Saba

Summary: This study presents a fully automated method for segmenting melanoma skin cancer using deep learning and fuzzy k-means clustering, aiming to aid in the early diagnosis and treatment of this disease. Evaluation on three standard datasets shows that the method outperforms state-of-the-art approaches in skin lesion recognition and segmentation, demonstrating robustness.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Review Instruments & Instrumentation

Processing of Aluminium-Silicon Alloy with Metal Carbide as Reinforcement through Powder-Based Additive Manufacturing: A Critical Study

R. Raj Mohan, R. Venkatraman, S. Raghuraman, P. Manoj Kumar, Moti Lal Rinawa, Ram Subbiah, B. Arulmurugan, S. Rajkumar

Summary: Powder-based additive manufacturing (PAM) is a potential fabrication approach that can produce intricate components with high precision and accuracy in near-net form. PAM composite fabrication is gaining popularity, especially using carbide form as a metal reinforcement material.

SCANNING (2022)

Article Microscopy

Event driven 4D STEM acquisition with a Timepix3 detector: Microsecond dwell time and faster scans for high precision and low dose applications

D. Jannis, C. Hofer, C. Gao, X. Xie, A. Beche, T. J. Pennycook, J. Verbeeck

Summary: Four dimensional scanning transmission electron microscopy (4D STEM) records electron scattering in materials in great detail, but the requirement for 2D image recording at each probe position has long limited its speed. Recent advances in camera technology, especially direct electron detectors, have reduced this bottleneck.

ULTRAMICROSCOPY (2022)

Article Anatomy & Morphology

Plant-mediated synthesis of silver-doped zinc oxide nanoparticles and evaluation of their antimicrobial activity against bacteria cause tooth decay

Bardia Mortezagholi, Emad Movahed, Amirhossein Fathi, Milad Soleimani, Armita Forutan Mirhosseini, Negar Zeini, Mehrdad Khatami, Mahin Naderifar, Bahman Abedi Kiasari, Mehran Zareanshahraki

Summary: In this study, silver-doped zinc oxide nanoparticles were synthesized and characterized. It was found that the addition of silver changed the size of the nanoparticles and improved the antimicrobial activity. Therefore, these nanoparticles can be used as a new antibacterial agent in medical applications.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Anatomy & Morphology

Localization of vasoactive intestinal peptide and toll-like receptor 2 immunoreactive cells in endostyle of urochordate Styela plicata (Lesueur, 1823)

Alessio Alesci, Simona Pergolizzi, Patrizia Lo Cascio, Gioele Capillo, Eugenia Rita Lauriano

Summary: The endostyle is the first component of the ascidian digestive tract, divided into nine zones with distinct cells and functions. Immunohistochemical investigation revealed the presence of immune cells in the endostyle of Styela plicata, indicating highly conserved innate immune mechanisms in the chordates' phylogeny.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Anatomy & Morphology

Palynomorphological diversity among the Asteraceous honeybee flora: An aid to the correct taxonomic identification using multiple microscopic techniques

Nabila, Mushtaq Ahmad, Muhammad Zafar, Saraj Bahadur, Shazia Sultana, Sehrish Taj, Ferhat Celep, Salman Majeed, Rozina

Summary: This study characterized the palynological morphology of melliferous species of family Asteraceae and identified different pollen types and surface patterns, which can be used to recognize the most commonly visited bee floral species by honeybees.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Microscopy

Applications of deep learning in electron microscopy

Kevin P. Treder, Chen Huang, Judy S. Kim, Angus Kirkland

Summary: This article reviews the growing use of machine learning in electron microscopy, covering various network architectures and error metrics applied to EM-related problems. It also highlights the application of these methods in both physical and life sciences, specifically tailored for EM.

MICROSCOPY (2022)

Article Materials Science, Multidisciplinary

Gray-Level Co-occurrence Matrix Analysis for the Detection of Discrete, Ethanol-Induced, Structural Changes in Cell Nuclei: An Artificial Intelligence Approach

Lazar M. Davidovic, Jelena Cumic, Stefan Dugalic, Sreten Vicentic, Zoran Sevarac, Georg Petroianu, Peter Corridon, Igor Pantic

Summary: The study conducted GLCM analysis on the damage caused by alcohol to yeast cell nuclei and evaluated the performance of different machine learning models in separating damaged cells from intact cells. Statistically significant differences were observed between treated and untreated cells, with the multilayer perceptron neural network demonstrating the highest classification accuracy.

MICROSCOPY AND MICROANALYSIS (2022)

Article Cell Biology

Exosomes produced by melanoma cells significantly influence the biological properties of normal and cancer-associated fibroblasts

Karolina Strnadova, Lucie Pfeiferova, Petr Prikryl, Barbora Dvorankova, Erik Vlcak, Jana Frydlova, Martin Vokurka, Jiri Novotny, Jana Sachova, Miluse Hradilova, Jan Brabek, Jana Smigova, Daniel Rosel, Karel Smetana, Michal Kolar, Lukas Lacina

Summary: Melanoma-produced exosomes can significantly stimulate the proinflammatory activity of cancer-associated fibroblasts, potentially representing a novel target for oncologic therapy.

HISTOCHEMISTRY AND CELL BIOLOGY (2022)

Article Anatomy & Morphology

Microscopic segmentation and classification of COVID-19 infection with ensemble convolutional neural network

Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, Amjad Rehman, Tanzila Saba, Rida Zahra

Summary: A three-phase model is proposed for COVID-19 detection in CT images, achieving a global segmentation accuracy of 0.96 and 0.97 for classification through denoising, segmentation, and deep learning processes.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Anatomy & Morphology

Implication of light and scanning electron microscopy for pollen morphology of selected taxa of family Asteraceae and Brassicaceae

Faria Umber, Muhammad Zafar, Riaz Ullah, Ahmed Bari, Muhammad Yahya Khan, Mushtaq Ahmad, Shazia Sultana

Summary: This study aimed to assess the pollen morphological attributes of Asteraceous and Brassicaceous species from Esa Khel, Punjab using SEM and LM techniques. Different pollen types and characteristics were observed and measured, aiding in the accurate identification and classification of these plant species. The study highlights the importance of pollen micromorphology in the systematic and taxonomic significance for diverse plant genera.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Materials Science, Multidisciplinary

Reflections on the Spatial Performance of Atom Probe Tomography in the Analysis of Atomic Neighborhoods

Baptiste Gault, Benjamin Klaes, Felipe F. Morgado, Christoph Freysoldt, Yue Li, Frederic De Geuser, Leigh T. Stephenson, Francois Vurpillot

Summary: APT is a powerful technique for atomic-scale mapping of material composition, but its spatial resolution can impose limitations on the interpretation of atomic neighborhoods. Directional neighborhood analysis restricted to depth could provide more robust results.

MICROSCOPY AND MICROANALYSIS (2022)

Article Anatomy & Morphology

Breast microscopic cancer segmentation and classification using unique 4-qubit-quantum model

Javaria Amin, Muhammad Sharif, Steven Lawrence Fernandes, Shui-Hua Wang, Tanzila Saba, Amjad Rehman Khan

Summary: This research uses improved pre-trained xception and deeplabv3+ models to segment ultrasound breast images and convert them into quantum circuits to achieve classification and detection of breast cancer with high accuracy.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Microscopy

Reducing electron beam damage through alternative STEM scanning strategies, Part I: Experimental findings

A. Velazco, A. Beche, D. Jannis, J. Verbeeck

Summary: Highly energetic electrons in a transmission electron microscope can damage sample structures, especially in zeolites, organics, and biological materials. Investigating the role of different scan patterns in damage behavior showed significant differences in beam damage, challenging the community to rethink beam damage in (S)TEM experiments.

ULTRAMICROSCOPY (2022)

Article Microscopy

Comparison of microscopic techniques to study the diversity of the bitumen microstructure

Johannes Mirwald, Bernhard Hofko, Georgios Pipintakos, Johan Blom, Hilde Soenen

Summary: This study utilized multiple microscopic techniques to investigate the microstructure of different binders. The results showed that these techniques were able to capture specific surface microstructures of the binders, but clear differentiation between the binders was difficult to obtain.

MICRON (2022)

Article Microscopy

Forty years in cryoEM of membrane proteins

Werner Kuehlbrandt

Summary: In a surprisingly short time, cryoEM has become a mainstream method in structural biology, impacting the study of membrane proteins and providing detailed structures without crystals. Single-particle cryoEM provides more detailed information, while cryo-tomography offers valuable context.

MICROSCOPY (2022)

Article Anatomy & Morphology

Foliar micromorphology of selected medicinal Lamiaceae taxa and their taxonomic implication using scanning electron microscopy

Wajid Zaman, Fazal Ullah, Gaurav Parmar, Saddam Saqib, Asma Ayaz, SeonJoo Park

Summary: In this research, scanning electron microscopy was used to identify and study the morphological characteristics of 25 Lamiaceae species used in traditional medicine. The study found that the anatomical features of the leaf epidermis can be used for accurate identification of these species. Additionally, the study described the diverse microstructures of these plants, providing insights for further research and classification of traditional medicinal plants.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Anatomy & Morphology

Toxicological effects of the chemical and green ZnO NPs on Cyprinus carpio L. observed under light and scanning electron microscopy

Saba Rasool, Mehwish Faheem, Uzma Hanif, Saraj Bahadur, Sehrish Taj, Fareeha Liaqat, Leonel Pereira, Iram Liaqat, Shabnam Shaheen, Muhammad Shuaib, Sadia Gulzar

Summary: Green nanoparticles synthesized from plants are less toxic compared to chemical nanoparticles and can replace the latter. The toxicological effects of chemical zinc oxide nanoparticles on juvenile carp were greater than those of green zinc oxide nanoparticles.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)

Article Anatomy & Morphology

Modulation of drought adversities in Vicia faba by the application of plant growth promoting rhizobacteria and biochar

Muhammad Nafees, Sami Ullah, Iftikhar Ahmed

Summary: This study investigated the effects of biochar and plant growth promoting rhizobacteria (PGPR) on the agronomic and physiological attributes of Vicia faba under drought stress. The results showed that the combination of biochar and PGPR significantly improved the growth and drought tolerance of Vicia faba.

MICROSCOPY RESEARCH AND TECHNIQUE (2022)