DIGITAL IMAGING DETECTION AND IMAGE ANALYSIS OF INTERNAL STRUCTURAL DEFECTS IN GIS

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.

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A Versatile High Throughput Screen for Dioxygenase Activity Using Solid-Phase Digital Imaging

CrossRef Listing of Deleted DOIs ◽

10.1177/108705710100600403 ◽

2001 ◽

Vol 6 (4) ◽

pp. 219-223 ◽

Cited By ~ 14

Author(s):

John M. Joern ◽

Takeshi Sakamoto ◽

Akira Arisawa ◽

Frances H. Arnold

Keyword(s):

Image Analysis ◽

Directed Evolution ◽

High Throughput ◽

Digital Imaging ◽

Solid Phase ◽

High Throughput Screen ◽

Microplate Reader ◽

Dihydrodiol Dehydrogenase ◽

Dioxygenase Activity

We have developed a solid-phase, high throughput (10,000 clones/day) screen for dioxygenase activity. The cis-di- hydrodiol product of dioxygenase bioconversion is converted to a phenol by acidification or to a catechol by reaction with cis-dihydrodiol dehydrogenase. Gibbs reagent reacts quickly with these oxygenated aromatics to yield colored products that are quantifiable using a microplate reader or by digital imaging and image analysis. The method is reproducible and quantitative at product concentrations of only 30,uM, with essentially no background from media components. This method is an effective general screen for aromatic oxidation and should be a useful tool for the discovery and directed evolution of oxygenases.

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DIGITAL IMAGING ANALYSIS OF THE PLACENTA

Contemporary Materials ◽

10.7251/comen1901100lj ◽

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.

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VC-Based Rutting Digital Imaging Automatic Detection Technology Research and Design for Road Construction

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.461.370 ◽

2012 ◽

Vol 461 ◽

pp. 370-372

Author(s):

Yue Zhang ◽

Ting Ting Gao

Keyword(s):

Data Storage ◽

Digital Imaging ◽

Road Construction ◽

Automatic Detection ◽

Detection Methods ◽

The Road ◽

Detection Technology ◽

Digital Imaging Technology ◽

Imaging Detection ◽

Road Data

With the road construction, an automatic detection of road surface of rutting will be the main detection methods. VC-based digital imaging detection technology has an advantage of the vehicle, such as a simple structure, amount of data storage capacity, less affected by vehicle vibration. This article based on digital imaging technology detects grayscale bitmap format captured image information of the rutting. It focused on the grayscale bitmap image processing. The article shows that by generating curve can accurately reflect the actual situation of the road. And it can greatly improve the efficiency of road data and the accuracy of automatic detection.

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P4-005: Quantitation of beta-amyloid in transgenic mice using whole slide digital imaging and image analysis software

Alzheimer s & Dementia ◽

10.1016/j.jalz.2011.05.2024 ◽

2011 ◽

Vol 7 ◽

pp. S700-S700

Author(s):

Robert Dunstan ◽

Thierry Bussiere ◽

Diana Fahrer ◽

Catherine Quigley ◽

Xueli Zhang ◽

...

Keyword(s):

Image Analysis ◽

Transgenic Mice ◽

Digital Imaging ◽

Beta Amyloid ◽

Analysis Software ◽

Image Analysis Software

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Design of a Novel Compound Eye System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.870.303 ◽

2017 ◽

Vol 870 ◽

pp. 303-308

Author(s):

Li Hua Li ◽

C.Y. Chan ◽

W.B. Lee

Keyword(s):

Image Analysis ◽

Optical Imaging ◽

Relative Position ◽

Digital Imaging ◽

Compound Eye ◽

Imaging System ◽

Field Of View ◽

Position Information ◽

Imaging Technology ◽

Digital Imaging Technology

Much progress has been made in the field of digital imaging technology with the widespread use of CMOS and CCD devices and the high computing power of IC chips. However, there still are many technological problems to overcome to achieve lightweight and affordable high density 3D lossless imaging for both industrial and scientific applications. This paper will focus on the latest development of freeform optical technology and powerful image analysis techniques to develop a compound eye camera system so as to extract the 3D relative position coordinates of the sub-object in the field of view, and to compensate the shadow effect in the images caused by the non-uniform illumination to obtain high quality lossless images. Such a novel compound eye system will find applications in delivering 3D image of digital camera, increasing capability of scientific profiling measuring instrument, and lowering cost and enhancing resolution of wide-field, video-rate, gigapixel cameras such as the AWARE designed by Duke University.The main objective of this paper is to design a novel compound eye system from high definition 3D lossless digital imaging technology to achieve the realistic three-dimensional positional information of the object in both near and far fields. In the imaging process, the ultimate imaging quality is affected and limited by the resolution of the detector, the field of view, wavefront aberration, resolution of the optical imaging system and the ambient light.The novel compound eye imaging system includes two modules: one is the optical imaging module with compound eye optical elements with other secondary optical lenses, while the other one is the image analysis module. By combining the above optical hardware with the image analysis software, the relative position information of the sub-objects in the picture and the lighting condition of the environment can be deduced accurately.

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