{"title":"Anatomical and Physicochemical Attributes of Endemic Medicinal Plant Species Vincetoxicum capparidifolium (Wight & Arn.) Kuntze, Apocynaceae","authors":"Athira Prameela, Thenmozhi Krishnasamy, Malavika Jayasree, Muthukumar Thangavelu","doi":"10.1002/jemt.24783","DOIUrl":"10.1002/jemt.24783","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Vincetoxicum capparidifolium</i> (Wight & Arn.) Kuntze [=<i>Tylophora capparidifolia</i> (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 <i>V. capparidifolium.</i> 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 <i>V. capparidifolium</i> exhibits sufficient quality and purity.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1167-1180"},"PeriodicalIF":2.0,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142886039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amjad Ullah Khan, Sabika Firasat, Khalid Mashay Al-Anazi, Mohammad Abul Farah, Ali Said, Shahzad Hussain, Aqsa Bibi, Talha Khan, Majid Khan, Umer Chaudhry, Kiran Afshan, Ribal Sajjad, Gulnora Mirzaeva, Bakhtiyor Kholmatov
{"title":"Resolving Taxonomic Ambiguities in Ascaris Species: Insights From a Scanning Electron Microscopy Study of Ascaris lumbricoides","authors":"Amjad Ullah Khan, Sabika Firasat, Khalid Mashay Al-Anazi, Mohammad Abul Farah, Ali Said, Shahzad Hussain, Aqsa Bibi, Talha Khan, Majid Khan, Umer Chaudhry, Kiran Afshan, Ribal Sajjad, Gulnora Mirzaeva, Bakhtiyor Kholmatov","doi":"10.1002/jemt.24776","DOIUrl":"10.1002/jemt.24776","url":null,"abstract":"<div>\u0000 \u0000 <p>Ascariasis, caused by the parasitic roundworm <i>Ascaris lumbricoides</i>, 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 <i>Ascaris</i> genus, notably the distinction between <i>A. lumbricoides</i> and <i>Ascaris suum,</i> has led to ongoing debate among parasitologists. Consequently, the current study intends to provide morphological characterization of <i>A. lumbricoides</i> from Pakistan, using scanning electron microscopy to uncover precise anatomical traits that may aid in resolving the taxonomic controversy surrounding the <i>Ascaris</i> 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 <i>t</i>-tests and ANOVA, with significance determined as <i>p</i> ≤ 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 <i>Ascaris</i> worms were significantly (<i>p</i> ≤ 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 (<i>p</i> = 0.003) and width (<i>p</i> = 0.00004), although male body length did not differ substantially among districts (<i>p</i> = 0.243). Scanning electron microscopy of <i>A. lumbricoides</i> 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.</p>\u0000 ","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1142-1154"},"PeriodicalIF":2.0,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Achdiat, Yushinta Fujaya, Hanafiah Fazhan, Rusydi Rozaimi, J. Sook Chung, Youji Wang, KianAnn Tan, Alexander Chong Shu-Chien, M. Maulidiani, Khor Waiho
{"title":"Identification and Characterization of the Y-Organ of Orange Mud Crab Scylla Olivacea","authors":"Muhammad Achdiat, Yushinta Fujaya, Hanafiah Fazhan, Rusydi Rozaimi, J. Sook Chung, Youji Wang, KianAnn Tan, Alexander Chong Shu-Chien, M. Maulidiani, Khor Waiho","doi":"10.1002/jemt.24777","DOIUrl":"10.1002/jemt.24777","url":null,"abstract":"<div>\u0000 \u0000 <p>The Y-organs (YOs) synthesize and secrete molting hormones, and thus regulate crustacean growth and reproduction. However, the YOs of the orange mud crab <i>Scylla olivacea</i> 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 <i>S. olivacea</i>. 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 <i>S. olivacea</i> 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.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1155-1166"},"PeriodicalIF":2.0,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pharmacognostic Standardization, Morphometric Analysis, and Multivariate Analysis of Croton lobatus L. and Croton zambesicus Mull. Arg","authors":"Mubo Adeola Sonibare, Mercy Abisola Ayo-Ayinde, Opeyemi Josephine Akinmurele, Akingbolabo Daniel Ogunlakin","doi":"10.1002/jemt.24771","DOIUrl":"10.1002/jemt.24771","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Croton lobatus</i> L. and <i>Croton zambesicus</i> 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 <i>C. lobatus</i> and <i>C. zambesicus</i>. 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 <i>C. lobatus</i> from <i>C. zambesicus</i>. 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 <i>C. lobatus</i> and <i>C. zambesicus</i> accessions studied. The pharmacognostic features established from the evaluation of the two species of <i>Croton</i> could be used for their identification, thus providing appropriate characters for their standardization.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1128-1141"},"PeriodicalIF":2.0,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classifying Alzheimer's Disease Using a Finite Basis Physics Neural Network","authors":"Logeshwari Dhavamani, Sagar Vasantrao Joshi, Pavan Kumar Varma Kothapalli, Muniyandy Elangovan, Ramesh Babu Putchanuthala, Ramasamy Senthamil Selvan","doi":"10.1002/jemt.24727","DOIUrl":"10.1002/jemt.24727","url":null,"abstract":"<div>\u0000 \u0000 <p>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.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1115-1127"},"PeriodicalIF":2.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142864833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefania Marcotti, Martin L. Jones, Thomas J. A. Slater, David J. Barry
{"title":"Enhancing Research Through Image Analysis Workshops: Experiences and Best Practices","authors":"Stefania Marcotti, Martin L. Jones, Thomas J. A. Slater, David J. Barry","doi":"10.1002/jemt.24769","DOIUrl":"10.1002/jemt.24769","url":null,"abstract":"<p>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.</p>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"922-935"},"PeriodicalIF":2.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jemt.24769","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142847007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Durbhakula M. K. Chaitanya, Srilakshmi Aouthu, Narra Dhanalakshmi, Yerram Srinivas, Srinivasa Rao Dhanikonda, B. Chinna Rao
{"title":"Enhanced Brain Tumor Classification Through Optimized Semantic Preserved Generative Adversarial Networks","authors":"Durbhakula M. K. Chaitanya, Srilakshmi Aouthu, Narra Dhanalakshmi, Yerram Srinivas, Srinivasa Rao Dhanikonda, B. Chinna Rao","doi":"10.1002/jemt.24767","DOIUrl":"10.1002/jemt.24767","url":null,"abstract":"<div>\u0000 \u0000 <p>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.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1102-1114"},"PeriodicalIF":2.0,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kinza Muhammad Din, Fiaz Alam, Mehak Sarfraz, Rukhba Rasheed, Abdulhakeem S. Alamri, Ibrar Ahmed
{"title":"Pharmacognostic Characterization of Primula macrophylla by Light Microscopy, Scanning Electron Microscopy and Analytical Techniques","authors":"Kinza Muhammad Din, Fiaz Alam, Mehak Sarfraz, Rukhba Rasheed, Abdulhakeem S. Alamri, Ibrar Ahmed","doi":"10.1002/jemt.24774","DOIUrl":"10.1002/jemt.24774","url":null,"abstract":"<div>\u0000 \u0000 <p>Traditional medicinal systems have extensively used <i>Primula macrophylla</i> (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 <i>P. macrophylla</i>. 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 <i>P. macrophylla</i>. 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 <i>P. macrophylla</i>. This study is helpful for establishing the pharmacopeia standards in accordance with WHO guidelines.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1087-1101"},"PeriodicalIF":2.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jia Chen, QingZhu Li, ZhanQin Zhang, Ivan A. Bratchenko, Hui Su, Shuang Wang
{"title":"A Femtosecond Fiber Laser-Based Compact Label-Free Multimodality Nonlinear Optical Microscopy and Its Ex Vivo Bioimaging","authors":"Jia Chen, QingZhu Li, ZhanQin Zhang, Ivan A. Bratchenko, Hui Su, Shuang Wang","doi":"10.1002/jemt.24757","DOIUrl":"10.1002/jemt.24757","url":null,"abstract":"<div>\u0000 \u0000 <p>Nonlinear multimode imaging is a versatile tool to realize complex structural and compositional information of biological samples. In this study, we presented a novel integrated multimode nonlinear optical microscopy system by using an Er3 + −doped femtosecond fiber laser. The system could perform second harmonic generation (SHG), third harmonic generation (THG), and three-photon fluorescence (3PEF) imaging modes simultaneously. Using this imaging system, we detected signals from plant cell walls, as well as starch particles in potatoes, chloroplasts in leaves, and onion cells wall-to-membrane linkers: Hechtian strands. Visualizations of skin structures such as stratum corneum, epidermal intercellular structures, hair follicles, and collagen were also achieved by a spatial resolution of 1.67 μm for 3PEF, 1.5 μm for THG, and 2.67 μm for SHG modalities, respectively. After spatial resolution improved by changing a high N.A objective, the system could be used for a variety of biological applications, including in vivo label-free imaging of living animals and deep microscopic imaging.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1078-1086"},"PeriodicalIF":2.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aleksa Denčevski, Jovana Z. Jelić, Ana Senkić, Aleksandar J. Krmpot, Mihailo D. Rabasović
{"title":"Development of Structured Illumination Microscope Using Transmission Diffraction Grating Obtained by Analog Microfilming Method","authors":"Aleksa Denčevski, Jovana Z. Jelić, Ana Senkić, Aleksandar J. Krmpot, Mihailo D. Rabasović","doi":"10.1002/jemt.24756","DOIUrl":"10.1002/jemt.24756","url":null,"abstract":"<div>\u0000 \u0000 <p>We present the development of a custom-built structured illumination microscope (SIM) featuring a specially designed transmission diffraction grating. Employing the analog microfilming method, we fabricated transmission diffraction gratings suited to the specific requirements of our system. This robust and cost-effective method allows for the fabrication of diffraction gratings with customized constants, ensuring excellent transmission in both the visible and near-infrared spectra. Additionally, to assess the performance of our system, we measured the resolution in both epifluorescent and super-resolution imaging modalities by applying two independent methods: the conventional resolution measurement using fluorescent beads and the knife-edge technique applied on the MoS<sub>2</sub> monolayer flakes. Both methods confirmed enhancement in the resolution of SIM over the epifluorescent imaging modality. Furthermore, we have successfully demonstrated the capabilities of our microscope by imaging fluorescently labeled astrocytes, specifically targeting the vimentin filament protein within these cells. The super-resolution images reveal fine structures of the vimentin cytoskeleton that remain unresolved in the epifluorescent image.</p>\u0000 </div>","PeriodicalId":18684,"journal":{"name":"Microscopy Research and Technique","volume":"88 4","pages":"1066-1077"},"PeriodicalIF":2.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}