scholarly journals Digital Imaging as a Possible Approach in Evaluation of Islet Yield

2003 ◽  
Vol 12 (2) ◽  
pp. 129-133 ◽  
Author(s):  
Peter Girman ◽  
Jan Kříž ◽  
Jozef Friedmanský ◽  
FrantišEk Saudek
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Imaging ◽  
Digital Image Analysis ◽  
Three Dimensional ◽  
Two Dimensions ◽  
New Method ◽  
Important Method ◽  
Three Dimensional Objects ◽  
Significant Difference

Digital image analysis (DIA) is a new method in assessment of islet amount, which is expected to provide reliable and consistent results. We compared this method with conventional counting of small numbers of rat islets. Islets were isolated from 8 pancreases and counted in 24 samples in duplicate, first routinely by sizing according to estimated diameters under a calibrated reticule and then by processing of islets pictures taken by camera. As presumed, no significant difference was found in absolute numbers of islets per sample between DIA and conventional assessment. Volumes of islets per sample measured by DIA were on average more than 10% higher than amounts evaluated conventionally, which was statistically significant. DIA has been shown to be an important method to remove operator bias and provide consistent results. Evaluation of only two dimensions of three-dimensional objects still represents a certain limitation of this technique. With lowering of computer prices the system could become easily available for islet laboratories.

scholarly journals COMPARISON OF EYELID ANGLE MEASURED USING MANUAL AND DIGITAL IMAGE ANALYSIS METHOD

2021 ◽  
Author(s):  
Shravya N ◽  
Swetha Ravichandran ◽  
Rinu Thomas
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Palpebral Fissure ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Interpupillary Distance ◽  
Significant Difference ◽  
The Mean ◽  
Imagej Software

Aim: To compare the eyelid angle measured by using a manual method (Using protractor) and digital image analysis method (Using ImageJ software) at different distances of eye gaze. Methodology: This prospective cross-sectional study was conducted in the preclinical lab at Manipal College of Health Professions. Subjects with no eyelid abnormalities were included in the study and they were asked to fixate at different distances a) at 3 metre (Distance gaze) b) at 70 cm (Intermediategaze) and c) at 40 cm(Near gaze). Using a protractor, the eyelid angle measurements were repeated at various distances which comprised the manual measurement. In the image analysis method, images were captured during distance, intermediate and near gaze using smartphone placed on theside of the face. These images were then analysed using ImageJ software for determining eyelid angle using image analysis method. Palpebral fissure height, Palpebral fissure width, Interpupillary distance, Intercanthal width, Binocular width, Height of open upper lid were some additional anthropometry measurements that were done using meter scale and PD ruler. Results: The mean age of the participants was 20±0.5 years. Anthropometry measurements of the eyelid and Palpebral fissure were done using meter scaleand PD ruler. The mean and standard deviation of the measured parametersare as follows Interpupillary distance: 60.95±2.37 mm, Endo Inter canthal distance: 32.20±2.39 mm, Exo Inter cantal distance: 95.50±3.80 mm, Palpebralfissure height_OD: 12.11±1.32 mm, Palpebral fissure height_OS:12.16±1.46mm, PFW_OD: 32.00±1.10 mm, PFW_OS: 32.11±1.24 mm, Height of upper eyelids_OD: 10.26±1.66 mm and Height of upper eyelids_OS:10.42±1.83 mm. In the right eye, there was no statistically significant difference (p>0.05) between manual protractor method and digital image analysismethod at distance but there was a statistically significant difference (p<0.05)between manual protractor method and digital image analysis method atIntermediate and near. In left eye, there was statistically significant difference(p<0.05) between manual protractor method and digital image analysis method at all three distances. Conclusion: There is a significant difference in eyelid angle measured using manual protractor method and digital image analysis method. The measurement of eyelid angle serves as a critical reference point during cosmetic and reconstructive surgical interventions of the eyelid and accurate measurements are essential for preoperative assessment, surgical planning and postoperative evaluation. Hence more studies on the validation of the anthropometry measurements and eyelid angle using digital image analysis areessential to use digital image analysis in routine eye care practice.

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.

scholarly journals Characteristics of Entrained Air Voids in Hardened Concrete with the Method of Digital Image Analysis Coupled with Schwartz-Saltykov Conversion

Materials ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2439
Author(s):  
Teemu Ojala ◽  
Yanjuan Chen ◽  
Jouni Punkki ◽  
Fahim Al-Neshawy
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Three Dimensional ◽  
Volume Density ◽  
Hardened Concrete ◽  
Air Voids ◽  
Air Content ◽  
Entrained Air ◽  
Number Of Classes

This paper presents the characteristics of air void systems in hardened concrete with the method of digital image analysis (DIA) coupled with Schwartz-Saltykov (SS) conversion. The results indicate that the DIA method coupled with SS conversion estimates the air content with more accuracy than it would without SS conversion; the correlation between air content obtained from the DIA method, and that from the thin section (TS) method is as good as the correlation observed between the pressure saturation (PS) method and the TS method. It was also found that the DIA method shows a better correlation with the TS method when the spacing factor without SS conversion is considered, while both methods show poor correlations when the corresponding specific surface is considered. In addition, it indicates that the peak of three-dimensional size distribution (3-DSD) of air voids after SS conversion falls in smaller voids, and 3-DSD of air voids shifts to a narrow size range, in comparison with the 2-DSD without SS conversion; the shape of the 3-DSD air voids remains constant irrespective of the class widths. Increasing the number of classes can minimise the standard deviation in the estimation, however, it also results in a leap in voids volume density, which will influence the estimation of air content.

scholarly journals Digital image analysis of immunohistochemistry KI-67 using QuPath software in breast cancer

2021 ◽  
Vol 12 (1) ◽  
pp. 34-43
Author(s):  
Hermin Aminah Usman ◽  
Fauzan Ali Zainal Abidin
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Diagnostic Evaluation ◽  
Observer Variability ◽  
Analysis Software ◽  
Visual Evaluation ◽  
Inter Observer Variability ◽  
Significant Difference ◽  
Bioimage Analysis

Background: Today, pathology services are more developed for quantitative diagnostic evaluation. The quantitative diagnostic evaluation requires detailed accuracy and can be done using digital image analysis (DIA). Assessment of the Ki67 labelling index (LI) in breast carcinoma needs to be done quantitatively. A visual evaluation of Ki67 LI using light microscopy has high inter-observer variability. The evaluation of Ki67 LI could be done digitally with the DIA technique to overcome the inter-observer variability. The DIA technique is carried out by counting the Ki67 LI manually or automatically with bioimage analysis software. QuPath is one of the bioimage analysis software, has characteristics of cross-platform, intended for bioimage analysis and digital pathology. Objective: This study aims to compare the manual and automatic calculation of Ki67 LI digitally. Methods: This study was a cross-sectional study; a total of 240 digital Ki67 images from 30 slides were analyzed by counting manually and automatically using QuPath. Results: Statistical analysis using the T-test showed no significant difference between the manual and automatic counting of Ki67 LI (p = 0,801, α = 0,05). Conclusion: Digital image analysis using QuPath can be used to calculate the Ki67 LI automatically.

scholarly journals Development of a Rapid and Precise Method of Digital Image Analysis to Quantify Canopy Density and Structural Complexity

ISRN Ecology ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Anne E. Goodenough ◽  
Andrew S. Goodenough
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Complex Analysis ◽  
Interobserver Variability ◽  
Structural Complexity ◽  
New Method ◽  
Canopy Density ◽  
Direct Light ◽  
Manual Methods

Estimation of canopy density is necessary for ecological research and woodland management. However, traditional manual methods are time consuming and subject to interobserver variability, while existing photographic methods usually require expensive fish-eye lenses and complex analysis. Here we introduce and test a new method of digital image analysis, CanopyDigi. This allows user-defined threshold to polarise the 256 grey shades of a standard monochrome bitmap into dark “canopy” and light “sky” pixels (the threshold being selected using false-colour images to ensure its suitability). Canopy density data are calculated automatically and rapidly, and, unlike many other common methods, aggregation data are obtainable using Morisita’s index to differentiate closed (diffuse light) and open (direct light) canopies. Results were highly repeatable in both homogeneous and heterogeneous woodland. Estimates correlated strongly with existing (nondigital) canopy techniques, but quicker and with significantly lower interobserver variability (CV = 3.74% versus 20.73%). We conclude that our new method is an inexpensive and precise technique for quantifying canopy density and aggregation.

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