scholarly journals An Evaluation of the Variation in the Morphometric Parameters of Grain of Six Triticum Species with the Use of Digital Image Analysis

Agronomy ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 296 ◽  
Author(s):  
Klaudia Goriewa-Duba ◽  
Adrian Duba ◽  
Urszula Wachowska ◽  
Marian Wiwart
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Morphometric Parameters ◽  
Phenotypic Traits ◽  
Wheat Species ◽  
Feret Diameter ◽  
Cereal Species ◽  
Color Descriptors ◽  
Rapid Discrimination

Kernel images of six wheat species were subjected to shape and color analyses to determine variations in the morphometric parameters of grain. The values of kernel shape descriptors (area, perimeter, Feret diameter, minimal Feret diameter, circularity, aspect ratio, roundness, solidity) and color descriptors (H, S, I and L*a*b*) were investigated. The influence of grain colonization by endophytic fungi on the color of the seed coat was also evaluated. Polish wheat grain was characterized by the highest intraspecific variation in shape and color. Bread wheat was most homogeneous in terms of the studied shape and color descriptors. An analysis of variations in wheat lines revealed greater differences in phenotypic traits of relict wheats, which have a larger gene pool. The grain of ancient wheat species was characterized by low roundness values and relatively low solidity. Shape and color descriptors were strongly discriminating components in the studied wheat species. Their discriminatory power was determined mainly by genotype. A method that supports rapid discrimination of cereal species and admixtures of other cereals in grain batches is required to guarantee the quality and safety of grain. The results of this study indicate that digital image analysis can be effectively used for this purpose.

scholarly journals DIGITAL IMAGING ANALYSIS OF THE PLACENTA

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Vesna Ljubojević
Keyword(s):  
Image Analysis ◽  
Umbilical Cord ◽  
Digital Image ◽  
Digital Imaging ◽  
Digital Image Analysis ◽  
Average Distance ◽  
Insertion Site ◽  
Screening Method ◽  
Morphometric Parameters ◽  
Imaging Analysis

Recent studies indicate that placental and umbilical cord morphometry are the factors that may be associated with pregnancy complications, such as fetal growth restriction. Recently, placental and umbilical cord morphometry have been performed using digital image analysis. The aim of this study was to determine the morphometric parameters of placentas using digital image analysis. Material and methods: The digital imaging analysis of twenty placentas and umbilical cord were performed using Image Analysis LAS V4.3 software. Results: The length of the placentas was 191,77 mm ± 35,86 mm (mean ± standard deviation). The width of the placentas was 166,01 mm ± 19,01 mm. The placental surface area was 24495,13 mm2 ± 7038,86 mm2. The insertion of the umbilical cord to the placenta was central in 50 %, peripheral in 37,50 % and marginal in 12,5 % of analyzed placentas. The average distance of the umbilical cord insertion from the nearest placental margin was 38,89 mm ± 28,39 mm. The umbilical cord diameter at the insertion site was 21,16 mm± 5.69 mm. The diameter of the umbilical cord two centimeters from the insertion site was 12,36 mm ± 3,45 mm. Conclusion: Digital image analysis enables obtaining the objective morphometric parameters of the placenta and umbilical cord. The obtained morphometric parameters of the placenta and umbilical cord for our population are comparable to results of previous studies and open further placental research directions for the development of the screening method.

Evaluation and prognostic value of DNA content and of morphometric parameters in malignant mesothelioma using digital image analysis

Lung Cancer ◽  
1996 ◽  
Vol 14 (2-3) ◽  
pp. 229-237 ◽  
Author(s):  
Kurt Segers ◽  
Samir Kumar Singh ◽  
AndréVan Daele ◽  
Johannes Bogers ◽  
Jan Van Meerbeeck ◽  
...  
Keyword(s):  
Image Analysis ◽  
Malignant Mesothelioma ◽  
Digital Image ◽  
Dna Content ◽  
Prognostic Value ◽  
Digital Image Analysis ◽  
Morphometric Parameters

Digital Image Analysis of the Larynx

2000 ◽  
Vol 10 (2) ◽  
pp. 7-9
Author(s):  
Yaser Natour ◽  
Christine Sapienza ◽  
Mark Schmalz ◽  
Savita Collins
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis

scholarly journals Digital Image Analysis of BAP-1 Accurately Predicts Uveal Melanoma Metastasis

2019 ◽  
Vol 8 (3) ◽  
pp. 11 ◽  
Author(s):  
Gustav Stålhammar ◽  
Thonnie Rose O. See ◽  
Stephen Phillips ◽  
Stefan Seregard ◽  
Hans E. Grossniklaus
Keyword(s):  
Image Analysis ◽  
Uveal Melanoma ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Melanoma Metastasis

Quantitative evaluation of elderly skin based on digital image analysis

2008 ◽  
Vol 14 (2) ◽  
pp. 192-200 ◽  
Author(s):  
Hiromasa Tanaka ◽  
Gojiro Nakagami ◽  
Hiromi Sanada ◽  
Yunita Sari ◽  
Hiroshi Kobayashi ◽  
...  
Keyword(s):  
Image Analysis ◽  
Quantitative Evaluation ◽  
Digital Image ◽  
Digital Image Analysis

scholarly journals In vitro validation of Digital Image Analysis Sequence (DIAS) for the assessment of the marginal fit of cement-retained implant-supported experimental crowns

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Aristeidis A. Villias ◽  
Stefanos G. Kourtis ◽  
Hercules C. Karkazis ◽  
Gregory L. Polyzois
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Confidence Level ◽  
Digital Image Analysis ◽  
Statistical Tests ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Marginal Fit ◽  
Smallest Detectable Change ◽  
The Mean

Abstract Background The replica technique with its modifications (negative replica) has been used for the assessment of marginal fit (MF). However, identification of the boundaries between prosthesis, cement, and abutment is challenging. The recently developed Digital Image Analysis Sequence (DIAS) addresses this limitation. Although DIAS is applicable, its reliability has not yet been proven. The purpose of this study was to verify the DIAS as an acceptable method for the quantitative assessment of MF at cemented crowns, by conducting statistical tests of agreement between different examiners. Methods One hundred fifty-one implant-supported experimental crowns were cemented. Equal negative replicas were produced from the assemblies. Each replica was sectioned in six parts, which were photographed under an optical microscope. From the 906 standardized digital photomicrographs (0.65 μm/pixel), 130 were randomly selected for analysis. DIAS included tracing the profile of the crown and the abutment and marking the margin definition points before cementation. Next, the traced and marked outlines were superimposed on each digital image, highlighting the components’ boundaries and enabling MF measurements. One researcher ran the analysis twice and three others once, independently. Five groups of 130 measurements were formed. Intra- and interobserver reliability was evaluated with intraclass correlation coefficient (ICC). Agreement was estimated with the standard error of measurement (SEM), the smallest detectable change at the 95% confidence level (SDC95%), and the Bland and Altman method of limits of agreement (LoA). Results Measured MF ranged between 22.83 and 286.58 pixels. Both the intra- and interobserver reliability were excellent, ICC = 1 at 95% confidence level. The intra- and interobserver SEM and SDC95% were less than 1 and 3 pixels, respectively. The Bland–Altman analysis presented graphically high level of agreement between the mean measurement of the first observer and each of the three other observers’ measurements. Differences between observers were normally distributed. In all three cases, the mean difference was less than 1 pixel and within ± 3 pixels LoA laid at least 95% of differences. T tests of the differences did not reveal any fixed bias (P > .05, not significant). Conclusion The DIAS is an objective and reliable method able to detect and quantify MF at ranges observed in clinical practice.

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