Digital Image Correlation (DIC) is an important and widely used non-contact technique for measuring material deformation. Considerable progress has been made in recent decades in both developing new experimental DIC techniques and in enhancing the performance of the relevant computational algorithms. Despite this progress, there is a distinct lack of a freely available, high-quality, flexible D...

Application of the three-dimensional digital image correlation technique (3D DIC) to the accurate measurement of full-field surface profile of a 730 mm-diameter carbon fibre composite satellite antenna is investigated in this article. The basic principles of the 3D DIC technique are described. The measured profile was compared with the one measured with a three-dimensional coordinate measuring ...

We present an extension of the development of an alternating minimization (AM) method for the computation of a specimen’s complex transmittance function (magnitude and phase) from DIC images. The ability to extract both quantitative phase and amplitude information from two rotationally-diverse DIC images (i.e., acquired by rotating the sample) extends previous efforts in computational DIC micro...

A distributed algorithm based on Dynamic Itemset Counting (DIC) for generation of frequent itemsets is presented by us. DIC represents a paradigm shift from Apriori-based algorithms in the number of passes of the database hence reducing the total time taken to obtain the frequent itemsets. We exploit the advantage of Dynamic Itemset Counting in our algorithmthat of starting the counting of an i...

Abstract. We develop a novel generative model for arbitrary 2D shapes, based on multiscale deformation. We demonstrate how our model can be used to segment objects within an image by fitting a shape-sensitive contour to each object’s boundary. We demonstrate our model by performing segmentation on di↵erential interference contrast microscopy (DIC) images of yeast, where many cells possess aberr...

Mediation analysis is often used to explore the complex relationship between two variables through a third mediating variable. This paper aims illustrate performance of deviance information criterion, pseudo‐Bayes factor, and Watanabe–Akaike criterion in selecting appropriate multilevel mediation model. Our focus will be on comparing conditional criteria (given random effects) versus marginal (...

There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available annotated samples more efficiently. The architecture consists of a contracting path to capture context and a symmetric expanding path that enables prec...

In this paper, we report a hidden Markov model based multiclass classification of cervical cancer tissues. This model has been validated directly over time series generated by the medium refractive index fluctuations extracted from differential interference contrast images of healthy and different stages of cancer tissues. The method shows promising results for multiclass classification with hi...

The Rockefeller University Press $30.00 J. Cell Biol. Vol. 185 No. 5 859–874 www.jcb.org/cgi/doi/10.1083/jcb.200812167 JCB 859 Correspondence to Anna Santamaria: [email protected] A. Uldschmid’s present address is Viramed Biotech AG, Behingerstrasse 11, D-82152, Planegg, Germany. Abbreviations used in this paper: DHC, dynein heavy chain; DIC, dynein intermediate chain; GL2, Photinus pyr...

A series of biaxial High Cycle Fatigue tests at room temperature is performed to build up an extensive and well-documented database. The testing specimen is a maltese cross thinned in its centre with non homogeneous strain/stress fields. The experimental protocol uses exclusively full-field strain measurements. The strains (cyclic and residual) as well as the crack initiation detection are obta...