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1.
IEEE Trans Med Imaging ; 24(6): 697-711, 2005 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-15957594

RESUMO

In this paper, we propose a combination of mean-shift-based tracking processes to establish migrating cell trajectories through in vitro phase-contrast video microscopy. After a recapitulation on how the mean-shift algorithm permits efficient object tracking we describe the proposed extension and apply it to the in vitro cell tracking problem. In this application, the cells are unmarked (i.e., no fluorescent probe is used) and are observed under classical phase-contrast microscopy. By introducing an adaptive combination of several kernels, we address several problems such as variations in size and shape of the tracked objects (e.g., those occurring in the case of cell membrane extensions), the presence of incomplete (or noncontrasted) object boundaries, partially overlapping objects and object splitting (in the case of cell divisions or mitoses). Comparing the tracking results automatically obtained to those generated manually by a human expert, we tested the stability of the different algorithm parameters and their effects on the tracking results. We also show how the method is resistant to a decrease in image resolution and accidental defocusing (which may occur during long experiments, e.g., dozens of hours). Finally, we applied our methodology on cancer cell tracking and showed that cytochalasin-D significantly inhibits cell motility.


Assuntos
Adenocarcinoma/patologia , Algoritmos , Movimento Celular , Interpretação de Imagem Assistida por Computador/métodos , Neoplasias Pulmonares/patologia , Microscopia de Fluorescência/métodos , Microscopia de Contraste de Fase/métodos , Microscopia de Vídeo/métodos , Reconhecimento Automatizado de Padrão/métodos , Adenocarcinoma/fisiopatologia , Inteligência Artificial , Linhagem Celular Tumoral , Gráficos por Computador , Simulação por Computador , Humanos , Aumento da Imagem/métodos , Neoplasias Pulmonares/fisiopatologia , Modelos Biológicos , Análise Numérica Assistida por Computador , Variações Dependentes do Observador , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Processamento de Sinais Assistido por Computador , Técnica de Subtração , Interface Usuário-Computador
2.
J Fr Ophtalmol ; 5(5): 339-45, 1982.
Artigo em Francês | MEDLINE | ID: mdl-7108141

RESUMO

Results obtained in 142 cases out of a total of 1.460 patients with non-accommodative strabismus treated and follow-up for 15 years are analyzed. Basic treatment was sensorial, started at a very early stage, supplemented by surgical correction of the mechanical defect. Complete recovery was obtained in 76 p.cent of cases, good vision with a very small angle (2-4 dpt.) microtropia in 17 p.cent, and a residual angle of 8-15 dpt. ni 7 p.cent. Similar results were obtained in small angle and congenital strabismus cases: following orthoptic therapy alone in 25.7 p. cent of patients, and after a single operation in 69.2 p.cent. No case of secondary divergence occurred and results remained stable during the 15 year period due to the fusion lock. It is the only treatment of surgical undercorrections and of the rare recurrences, and probably a causal treatment of spasms. Results suggest that sensorial physiological treatment should be basic treatment; A.R.C. should become as obsolete as excentric fixation amblyopia; this treatment emphasizes the crucial role of the orthoptist who really cures the strabismus. It is the "historical transition" of Jampolsky.


Assuntos
Ortóptica , Estrabismo/terapia , Adolescente , Adulto , Ambliopia/terapia , Criança , Pré-Escolar , Seguimentos , Humanos , Lactente , Recém-Nascido , Retina/fisiopatologia , Estrabismo/congênito , Estrabismo/fisiopatologia , Estrabismo/cirurgia , Fatores de Tempo , Testes Visuais , Acuidade Visual
6.
Neuropathol Appl Neurobiol ; 32(6): 575-84, 2006 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-17083472

RESUMO

Astrocytic tumours are associated with dismal prognoses due to their pronounced ability to diffusely invade the brain parenchyma. Various neuropeptides, including gastrin, are able to modulate tumour astrocyte migration. While neurotensin has been shown to influence the proliferation of glioma cells and the migratory ability of a large set of other cell types, its role in glioma cell migration has never been investigated. Neurotensin-induced modifications to the motility features of human U373 glioblastoma cells therefore constitute the topic of the present study. We evidenced that three subtypes of neurotensin receptors (NTR1, NTR2 and NTR3) are expressed in U373 glioblastoma cells, at least as far as their mRNAs are concerned. Treating U373 tumour cells with 10 nM neurotensin markedly modified the morphological patterns of these cells and also profoundly altered the organization of their actin cytoskeletons. Pull-down assays revealed that neurotensin induced the activation in U373 cells of both Rac1 and Cdc42 but not RhoA. Scratch wound assays evidenced that neurotensin (0.1 and 10 nM) very significantly inhibited wound colonization by U373 cells cultured in the absence of serum. In addition, quantitative phase-contrast videomicroscopy analyses showed that neurotensin decreases the motility levels of U373 glioblastoma cells when these cells are cultured on plastic. In sharp contrast, neurotensin stimulates the motility of U373 cells when they are cultured on laminin, which is a pro-adhesive extracellular matrix component ubiquitously secreted by glioma cells. Our data thus strongly suggest that, in addition to gastrin, neurotensin is a neuropeptide capable of modulating tumour astrocyte migration into the brain parenchyma.


Assuntos
Neoplasias Encefálicas/metabolismo , Movimento Celular/fisiologia , Glioblastoma/metabolismo , Invasividade Neoplásica , Neurotensina/metabolismo , Actinas/metabolismo , Linhagem Celular Tumoral , Citoesqueleto/metabolismo , Ativação Enzimática/fisiologia , Humanos , Técnicas In Vitro , Microscopia de Contraste de Fase , Microscopia de Vídeo , RNA Mensageiro/análise , Receptores de Neurotensina/biossíntese , Proteína cdc42 de Ligação ao GTP/metabolismo , Proteínas rac1 de Ligação ao GTP/metabolismo , Proteína rhoA de Ligação ao GTP/metabolismo
7.
Cytometry ; 37(4): 255-66, 1999 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-10547610

RESUMO

BACKGROUND: Epiluminescence microscopy (ELM) is a noninvasive clinical tool recently developed for the diagnosis of pigmented skin lesions (PSLs), with the aim of improving melanoma screening strategies. However, the complexity of the ELM grading protocol means that considerable expertise is required for differential diagnosis. In this paper we propose a computer-based tool able to screen ELM images of PSLs in order to aid clinicians in the detection of lesion patterns useful for differential diagnosis. METHODS: The method proposed is based on the supervised classification of pixels of digitized ELM images, and leads to the construction of classes of pixels used for image segmentation. This process has two major phases, i.e., a learning phase, where several hundred pixels are used in order to train and validate a classification model, and an application step, which consists of a massive classification of billions of pixels (i.e., the full image) by means of the rules obtained in the first phase. RESULTS: Our results show that the proposed method is suitable for lesion-from-background extraction, for complete image segmentation into several typical diagnostic patterns, and for artifact rejection. Hence, our prototype has the potential to assist in distinguishing lesion patterns which are associated with diagnostic information such as diffuse pigmentation, dark globules (black dots and brown globules), and the gray-blue veil. CONCLUSIONS: The system proposed in this paper can be considered as a tool to assist in PSL diagnosis.


Assuntos
Processamento de Imagem Assistida por Computador/métodos , Melanoma/patologia , Microscopia/métodos , Neoplasias Cutâneas/patologia , Simulação por Computador , Árvores de Decisões , Diagnóstico por Computador , Diagnóstico Diferencial , Humanos , Processamento de Imagem Assistida por Computador/normas , Programas de Rastreamento/métodos , Microscopia/normas , Reprodutibilidade dos Testes , Pigmentação da Pele , Software
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