NIR response of gold nanoparticles for biological detection

Autor: D'Acunto M., Benassi A., Cricenti A., Luce M., Moroni D., Salvetti O.

Publikováno v: AITA 2013-12th International Workshop on Advanced Infrared Technology and Applications, pp. 44–44, Torino, Italy, 10-13 September 2013
info:cnr-pdr/source/autori:D'Acunto M., Benassi A., Cricenti A., Luce M., Moroni D., Salvetti O./congresso_nome:AITA 2013-12th International Workshop on Advanced Infrared Technology and Applications/congresso_luogo:Torino, Italy/congresso_data:10-13 September 2013/anno:2013/pagina_da:44/pagina_a:44/intervallo_pagine:44–44

In this paper, we study how the optical properties of gold nanoparticles and core-gold nanoshells are changed as a function of different sizes, shapes, composition and biomolecular coating with characteristic shifts towards near-infrared region, 750-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ed0d21c34844a18b60004f0a5161fbc7
https://publications.cnr.it/doc/326460

Diagnosis of lymphatic tumors by case-based reasoning on microscopic images

Autor: Colantonio S., Perner P., Salvetti O.

Publikováno v: 2 (2009): 29–40.
info:cnr-pdr/source/autori:Colantonio S.; Perner P.; Salvetti O./titolo:Diagnosis of lymphatic tumors by case-based reasoning on microscopic images/doi:/rivista:/anno:2009/pagina_da:29/pagina_a:40/intervallo_pagine:29–40/volume:2

In this paper, a novel method for diagnosing lymphatic tissue tumors is presented. Microscopic specimen images are analyzed for extracting and characterizing malignant cells. A case-based reasoning approach is followed for classifying morphologic and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7fa16654dde8d447f350a3dd256a1a0f
https://publications.cnr.it/doc/68469

Object tracking in video-surveillance

Autor: Gabriele Pieri, Davide Moroni

Publikováno v: Pattern recognition and image analysis 19 (2009): 271–276. doi:10.1134/S1054661809020096
info:cnr-pdr/source/autori:Moroni D.; Pieri G./titolo:Object tracking in video-surveillance/doi:10.1134%2FS1054661809020096/rivista:Pattern recognition and image analysis/anno:2009/pagina_da:271/pagina_a:276/intervallo_pagine:271–276/volume:19

This paper faces the automatic object tracking problem in a video-surveillance task. A previously selected and then identified target has to be retrieved in the scene under investigation because it is lost due to masking, occlusions, or quick and une

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6a41ac8426ae05c1d8c09004c6fc789
http://www.cnr.it/prodotto/i/68482

Real-time measurement and analysis of translational and rotational speeds of moving objects in microscope fields

Autor: Coltelli P., Evangelisti M., Evangelista V., Gualtieri P.

Publikováno v: Lecture notes in computer science 4826 (2007): 128–135.
info:cnr-pdr/source/autori:Coltelli P.; Evangelisti M.; Evangelista V.; Gualtieri P./titolo:Real-time measurement and analysis of translational and rotational speeds of moving objects in microscope fields/doi:/rivista:Lecture notes in computer science/anno:2007/pagina_da:128/pagina_a:135/intervallo_pagine:128–135/volume:4826

This paper describes a digital system designed for the automatic detection and measurement of the velocity of moving objects in images acquired by means of a common TV-camera mounted onto a microscope. The main characteristics of this system are the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::48665f64815636b401876c5aef2b33f2
https://openportal.isti.cnr.it/doc?id=people______::48665f64815636b401876c5aef2b33f2

Multimedia target tracking through feature detection and database retrieval

Autor: Di Bono M. G., Pieri G., Salvetti O.

Publikováno v: 22th International Conference on Machine Learning-Workshop on Machine Learning Techniques for Processing Multimedia Content, pp. 19–22, Bonn, 11 August 2005
info:cnr-pdr/source/autori:Di Bono M.G.; Pieri G.; Salvetti O./congresso_nome:22th International Conference on Machine Learning-Workshop on Machine Learning Techniques for Processing Multimedia Content/congresso_luogo:Bonn/congresso_data:11 August 2005/anno:2005/pagina_da:19/pagina_a:22/intervallo_pagine:19–22

The real-time detection and tracking of moving objects is a challenging task and automatic tools to identify and follow them are often subjected to constraints regarding the environment under investigation or the full visibility of the targeted objec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1585ac6426369ea3fb37b6b7665004d5
http://www.cnr.it/prodotto/i/91220