Antonio Cardone

Assistant Research Scientist
(301) 405-1737
Education: 
Ph.D., University of Maryland (Mechanical Engineering)
Biography: 

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.

Publications

2017


Cheng H-C, Cardone A, Krokos E, Stoica B, Faden A, Varshney A.  2017.  Deep-learning-assisted visualization for live-cell images. IEEE International Conference on Image Processing.

2016


Cardone A, Brady M, Sriram R., Pant H.C, Hassan S.A.  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.

Florczyk SJ, Simon M, Juba D, P Pine S, Sarkar S, Chen D, Baker PJ, Bodhak S, Cardone A, Brady M et al..  2016.  3D Cellular Morphotyping of Scaffold Niches. 2016 32nd Southern Biomedical Engineering Conference (SBEC).

2015


Bajcsy P, Cardone A, Chalfoun J, Halter M, Juba D, Kociolek M, Majurski M, Peskin A, Simon C, Simon M et al..  2015.  Survey statistics of automated segmentations applied to optical imaging of mammalian cells. BMC bioinformatics. 16:1.

Cardone A, Chalfoun J, Peskin A, Bajcsy P, Kociolek M, Bhadriraju K, Brady M.  2015.  Segmentation and sub-cellular feature-based analysis of microscopy images. BioImage Informatics Conference .

2013


Chalfoun J, Kociolek M, Dima A, Halter M, Cardone A, Peskin A, Bajcsy P, Brady M.  2013.  Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells.. Journal of microscopy. 249(1):41-52.

Juba D, Cardone A, Ip C Y, Simon Jr CG, K Tison C, Kumar G, Brady M, Varshney A.  2013.  Parallel geometric classification of stem cells by their three-dimensional morphology. Computational Science & Discovery. 6(1):015007.

Li-Baboud Y-S, Cardone A, Chalfoun J, Bajcsy P, Elliott J.  2013.  Understanding the impact of image quality on segmentation accuracy. SPIE Newsroom.

2012


Martineau J, Mokashi R, Chapman D, Grasso M, Brady M, Yesha Y, Yesha Y, Cardone A, Dima A.  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.

Cardone A, Amelot J, Li-Baboud Y-S, Brady M, Bajcsy P.  2012.  Biases from model assumptions in texture sub-cellular image segmentation. SPIE Newsroom. 13

2011


Halter M, Sisan DR, Chalfoun J, Stottrup BL, Cardone A, Dima AA, Tona A, Plant AL, Elliott JT.  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


Chalfoun J, Cardone A, Dima AA, Allen DP, Halter MW.  2010.  Overlap-based cell tracker. The Journal of Research of the National Institute of Standards and Technology. 115(6)

Grasso MA, Mokashi R, Dalvi D, Cardone A, Dima AA, Bhadriraju K, Plant AL, Brady M, Yesha Y, Yesha Y.  2010.  Image classification of vascular smooth muscle cells. Proceedings of the 1st ACM International Health Informatics Symposium.
:484-486.

2006

2005

2004


Cardone A, Gupta SK, Karnik M.  2004.  Identifying similar parts for assisting cost estimation of prismatic machined parts. ASME Design for Manufacturing Conference, Salt Lake City, Utah.

2003


Cardone A, Gupta SK, Karnik M.  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.