Box counting dimension of red blood cells samples when filtered with wavelet transform
Automatic recognizing of different populations of several millions of red blood cells (RBCs) is a useful tool in Hematology and Clinical Diagnosis. In this work we studied samples of several millions of RBCs: on one hand healthy control RBCs and on the other hand control RBCs incubated with Trichine...
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| Autores principales: | , , , , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Español |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/105822 https://cimec.org.ar/ojs/index.php/mc/article/view/5467 |
| Aporte de: |
| id |
I19-R120-10915-105822 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Español |
| topic |
Ingeniería Box counting dimension Wavelet Transform Red blood cells Trichinella spiralis |
| spellingShingle |
Ingeniería Box counting dimension Wavelet Transform Red blood cells Trichinella spiralis Korol, Ana M. Leguto, Alcides J. Rebechi, Juan P. Riquelme, Bibiana Ponce de León, Patricia Bortolato, Santiago Mancilla Canales, Manuel Box counting dimension of red blood cells samples when filtered with wavelet transform |
| topic_facet |
Ingeniería Box counting dimension Wavelet Transform Red blood cells Trichinella spiralis |
| description |
Automatic recognizing of different populations of several millions of red blood cells (RBCs) is a useful tool in Hematology and Clinical Diagnosis. In this work we studied samples of several millions of RBCs: on one hand healthy control RBCs and on the other hand control RBCs incubated with Trichinella spiralis larval parasites. The alteration on the cells membrane with the parasite can be studied with box-counting dimension on both samples. Previously we applied wavelet transform to all the samples in order to improve the results. The procedure to remove noise from an image is based on the decomposition of the observed signal in a set of wavelets and taking threshold values to select the appropriate coefficients through which the signal can be reconstructed. In our work we compared the results obtained when analyzing the raw signals and the ones obtained after applying wavelet transform, and the results were different and more clearly characterized when the signal were treated with wavelet transform. Finally, the present method using wavelet transform is suitable to optimize the characterization of the RBCs damage when incubated with the larval parasites. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Korol, Ana M. Leguto, Alcides J. Rebechi, Juan P. Riquelme, Bibiana Ponce de León, Patricia Bortolato, Santiago Mancilla Canales, Manuel |
| author_facet |
Korol, Ana M. Leguto, Alcides J. Rebechi, Juan P. Riquelme, Bibiana Ponce de León, Patricia Bortolato, Santiago Mancilla Canales, Manuel |
| author_sort |
Korol, Ana M. |
| title |
Box counting dimension of red blood cells samples when filtered with wavelet transform |
| title_short |
Box counting dimension of red blood cells samples when filtered with wavelet transform |
| title_full |
Box counting dimension of red blood cells samples when filtered with wavelet transform |
| title_fullStr |
Box counting dimension of red blood cells samples when filtered with wavelet transform |
| title_full_unstemmed |
Box counting dimension of red blood cells samples when filtered with wavelet transform |
| title_sort |
box counting dimension of red blood cells samples when filtered with wavelet transform |
| publishDate |
2017 |
| url |
http://sedici.unlp.edu.ar/handle/10915/105822 https://cimec.org.ar/ojs/index.php/mc/article/view/5467 |
| work_keys_str_mv |
AT korolanam boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform AT legutoalcidesj boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform AT rebechijuanp boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform AT riquelmebibiana boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform AT poncedeleonpatricia boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform AT bortolatosantiago boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform AT mancillacanalesmanuel boxcountingdimensionofredbloodcellssampleswhenfilteredwithwavelettransform |
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Repositorios |
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1764820442655227905 |