Tag Archives: morphometry

Comparative and Morphological Analysis of Patellar Tendon with the Native Anterior Cruciate Ligament (ACL): an Electron, Microscopic and Morphological Study

Sólyom Á1, Zuh GyS2, Ivănescu A3, Nagy Ö2

1 University of Medicine and Pharmacy of Tîrgu Mureș, Department of Orthopaedics and Traumatology II
2 University of Medicine and Pharmacy of Tîrgu Mureș, Department of Orthopaedics and Traumatology I
3 University of Medicine and Pharmacy of Tîrgu Mureș, Department of Anatomy and Embriology

Background: Ligaments and tendons are similar in composition but differ in proportion and arrangement. Tendons are used as grafts for the ACL reconstruction. The microscopic structure of these tendons has not been sufficiently studied and compared to the native ACL.
Objective: To compare the structure of the patellar tendon graft with the structure of a normal anterior cruciate ligament.
Material and methods: A null hypothesis was declared stating that the anterior cruciate ligament should be histologically, morphologically and functionally different from the patellar tendon used for ACL reconstruction. We investigated similarities and dif-ferences of the structure of ACL and patellar tendon used as a graft tissue for ACL reconstruction. In this study, samples of patellar tendon, and the ACL were harvested from 18 patients during ACL reconstruction and analysed by light and electron microscopy, immunohistochemistry and morphometry.
Results: The thickness of the collagen fibrils, collagen organization and diameter, the fibril/interstitium ratio, density of fibroblasts and blood vessels, and distribution of the collagen type I, III and V fibrils were analyzed.
Discussions: The ACL had the highest concentration of type III and V collagen fibrils as well as elastic fibers.
Conclusion: The histological and ultrastructural appearance of the ACL differs from patellar tendon used as graft for ACL reconstruction.

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Semiautomated Image Analysis of High Contrast Tissue Areas Using Hue/Saturation/Brightness Based Color Filtering

Mezei T1, Szakács M1, Dénes L2, Jung J1, Egyed-Zsigmond I1

1 Department of Pathology, University of Medicine and Pharmacy, Tîrgu Mureș, Romania
2 Department of Anatomy and Embryology, University of Medicine and Pharmacy, Tîrgu Mureș, Romania

Introduction: Quantification and morphological assessment of various tissue elements have numerous applications in fundamental and clinical research. Digital morphometry, in contrast to other morphologic methods, uses personal computers and specific software, to perform precise and highly reproducible results. Additionally, it delivers results in mathematical format. The aim of our study was to develop an open access digital morphometry method for measuring different parameters of various high contrast tissue elements and to elaborate a general work-around for digital morphometry study and data management.
Materials and methods: We used three different types of tissue samples and staining procedures: (1) Diffuse Large B-cell Lymphoma specimens, (2) various stage liver fibrosis specimens and (3) transversely sectioned skeletal muscle tissue to develop a digital morphometric analysis. Image analysis was performed using ImageJ software.
Results: We developed an intuitive and easy to use work-algorithm that fits generic demands. We split the algorithm into three phases, each requiring a different approach and workaround. Using the presented method we were able to quantify the proportion of CD34 positive areas in the DLBCL specimens, the vascularity of this type of lymphoma may be quantified; similarly, this method is optimal for determining the extension of fibrosis in liver specimens; and finally, morphometric analysis of striated muscle fibers was achieved.
Conclusions: We conclude that the use of ImageJ with semiautomatic color segmentation is a reliable and practical way of performing various morphometric measurements. In addition, we are confident that such methods of digital morphometry could have future applications in other areas of pathology and histology.

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Evaluation of the Effect of Lung Morphometry on the Deposition of Inhaled Particles

Sárkány Z1, Kudela G2, Horváth A3, Balásházy I4, Hofmann W5, Sabău M6

1 University of Medicine and Pharmacy, Târgu Mureș, Romania
2 Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary
3 Chiesi Hungary, Budapest, Hungary
4 Environmental Physics Laboratory, Centre for Energy Research, Hungarian Academy of Sciences, Budapest, Hungary
5 Division of Physics and Biophysics, Department of Materials Research, University of Salzburg, Salzburg, Austria
6 Department of Physiology, University of Medicine and Pharmacy, Târgu Mureș, Romania

Introduction: The human respiratory tract is a complex, asymmetrical, tree-like system of tubular structures, optimized for the transport and distribution of respiratory gases. The objective of this study is to use a computerized lung model to study the effect of lung morphometry on the airway deposition of inhaled particles.
Material and methods: We used a stochastic lung model to simulate the total and regional deposition of 0.01–10 µm particles through oral breathing in sitting condition. The effect of lung morphometry was examined using the same model with a modified algorithm to create a fully symmetrical lung geometry.
Results: Total deposition curves show similar deposition trends for the two models, the symmetric model returning slightly lower deposition values for all particle sizes. In the bronchial region deposited fractions are highly similar, the symmetric model predicting deposition values that are 2.1–4.6% higher for particles in the 0.01–0.1 µm size range. In the acinar region deposition values are up to 27.6% lower in the case of 0.2 µm particles.
Conclusions: Our study suggests that the deposition of inhaled particles is dependent mainly on particle size, and to a smaller extent on the lung geometry the models are built on. Deposition fractions yielded by the two models are highly similar, although there is a shift in the deposition of inhaled particles from the acinar region towards the bronchial region in the symmetric model.

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