Antonio Cardone
Primary tabs
Antonio Cardone is an assistant research scientist at UMIACS.
He joined the National Institute of Standards and Technology in October 2005 as a postdoctoral guest researcher. Cardone's current research focuses on developing techniques for protein 3-D structure modeling and analysis, protein molecular dynamics, and molecular trajectories’ analysis.
He is also working on 2-D image segmentation and motion tracking techniques and on image texture analysis with application to cell biology. Some of Dr. Cardone’s research is carried out in cooperation with the Enzyme Chemistry Section of the Laboratory of Neurochemistry at the National Institute of Neurological Disorders and Strokes.
Cardone’s research interests are CAD/CAM, feature-based geometric modeling, computational geometry, image processing, proteomics, protein 3-D structure modeling, and molecular dynamics techniques.
Cardone is currently Principal Investigator on a Grant titled "Computer-based measurements in material and medical science", funded by the National Institute of Standard and Technology. His Geometry-Based Search Software (GBSS), built in collaboration with Satyandra K. Gupta, a former Professor in the university's Department of Mechanical Engineering, and M. Schwartz, was a finalist in the information science category for the University of Maryland Office of Technology Commercialization Invention of the Year Award in 2007.
Cardone has reviewed articles for established international journals, such as Computer Aided Design and Journal of Computing & Information Science in Engineering.
He received his doctorate in Mechanical Engineering at the University of Maryland in 2005, and a Master of Science in mechanical engineering with a major in robotics at the University of Napoli, Italy, in 2000.
Go here to view Cardone‘s most recent academic publications.
Publications
2020
2020. Rapid, quantitative therapeutic screening for Alzheimer's enzymes enabled by optimal signal transduction with transistors. The Analyst. 145(8):2925-2936.
2019
2018
2018. Interpolation-Based Gray-Level Co-Occurrence Matrix Computation for Texture Directionality Estimation. IEEE 22nd Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference.
2018. Deep-learning-assisted Volume Visualization. IEEE Transactions on Visualization and Computer Graphics. :1-1.
2017
2017. A Bioinformatics 3D Cellular Morphotyping Strategy for Assessing Biomaterial Scaffold Niches. ACS Biomaterials Science & Engineering. 3(10):2302-2313.
2017. Interactive exploration of microstructural features in gigapixel microscopy images. IEEE International Conference on Image Processing.
2017. Deep-learning-assisted visualization for live-cell images. IEEE International Conference on Image Processing.
2016
2016. Computational study of the inhibitory mechanism of the kinase CDK5 hyperactivity by peptide p5 and derivation of a pharmacophore. Journal of Computer-Aided Molecular Design. 30(6):513-521.
2016. 3D Cellular Morphotyping of Scaffold Niches. 2016 32nd Southern Biomedical Engineering Conference (SBEC).
2015
2015. Survey statistics of automated segmentations applied to optical imaging of mammalian cells. BMC bioinformatics. 16:1.
2015. Estimating Actin Fiber Orientation using Interpolation-Based Grey-Level Co-Occurrence Matrix Computation. BioImage Informatics Conference .
2015. Segmentation and sub-cellular feature-based analysis of microscopy images. BioImage Informatics Conference .
2013
2013. Parallel geometric classification of stem cells by their three-dimensional morphology. Computational Science & Discovery. 6(1):015007.
2013. Specific and Non-Specific Protein Association in Solution: Computation of Solvent Effects and Prediction of First-Encounter Modes for Efficient Configurational Bias Monte Carlo Simulations. The Journal of Physical Chemistry B. 117(41):12360-12374.
2013. Understanding the impact of image quality on segmentation accuracy. SPIE Newsroom.
2013. Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells.. Journal of microscopy. 249(1):41-52.
2012
2012. Sub-cellular feature detection and automated extraction of collocalized actin and myosin regions. the 2nd ACM SIGHIT symposiumProceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12. :399.
2012. Biases from model assumptions in texture sub-cellular image segmentation. SPIE Newsroom. 13
2011
2011. Cell cycle dependent TN-C promoter activity determined by live cell imaging.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. 79(3):192-202.
2010
2010. Overlap-based cell tracker. The Journal of Research of the National Institute of Standards and Technology. 115(6)
2010. Evaluation of the Interaction of Cyclin-Dependent Kinase 5 with Activator p25 and with p25-Derived Inhibitor CIP. Journal of Computational Biology. 17(5):707-721.
2010. Image classification of vascular smooth muscle cells. Proceedings of the 1st ACM International Health Informatics Symposium. :484-486.
2010. Structural and dynamic determinants of ligand binding and regulation of cyclin-dependent kinase 5 by pathological activator p25 and inhibitory peptide CIP.. Journal of molecular biology. 401(3):478-92.
2006
2006. Content-based search techniques for searching CAD databases. CAD Conference.
2006. Machining feature-based similarity assessment algorithms for prismatic machined parts. Computer-Aided Design. 38(9):954-972.
2006. Shape Similarity Assessment Based On Face Alignment Using Attributed Applied Vectors.. CAD Conference.
2005
2005. Using Iterative Strategies for Aligning Attributed Points in Space. ISR-TR-2005-2
2004
2004. Identifying similar parts for assisting cost estimation of prismatic machined parts. ASME Design for Manufacturing Conference, Salt Lake City, Utah.
2003
2003. A Survey of Shape Similarity Assessment Algorithms for Product Design and Manufacturing Applications. Journal of Computing and Information Science in EngineeringJ. Comput. Inf. Sci. Eng.. 3(2):109-118.