The snakes (Reptilia, Serpentes) of the Miocene of Portugal

The ophidian fauna coming from the Miocene of Amor (MN 5), Quinta das Pedreiras and Quinta do Pombeiro (both MN4) (Portugal) consists of the following taxa: cf. Bavarioboa sp. (Boidae); cf. Coluber sp. (Coluhridae); two unidentified Colubridae; Vipera sp. ("Oriental vipers" complex) (Viperidae). The assemblage is characteristic for the lower/middle Miocene transition and it resembles snake faunas known from other European localities of similar age.

Sistema de visão para apoio à avaliação da obstrução da orofaringe em crianças

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Amphibians and squamate reptiles from the lower Eocene of Silveirinha (Portugal)

Silveirinha (Portugal) has produced a diverse herpetofauna. In Europe, it is the only described assemblage of amphibians and squamate reptiles from the base of the Eocene (MP 7). The fauna includes at least two species of amphibians (belonging to the Salamandridae and perhaps the Pelobatidae) and at least 15 species of squamates (at least nine families: Iguanidae, Agamidae, Gekkonidae, one or two families of scincomorphans, Anguidae, ?Varanidae, Amphisbaenidae, Boidae, Tropidophiidae, and likely an indeterminate family of snakes). But, except for the snake Dunnophis matronensis, identifications at species level are not possible. The presence of iguanid lizards and of the snake D. matronensis in the base of the Eocene (MP 7) of Europe is confirmed. The fauna includes several squamates that show close affinities with North American taxa.

Microscopy image segmentation by active contour models

In this thesis a semi-automated cell analysis system is described through image processing. To achieve this, an image processing algorithm was studied in order to segment cells in a semi-automatic way. The main goal of this analysis is to increase the performance of cell image segmentation process, without affecting the results in a significant way. Even though, a totally manual system has the ability of producing the best results, it has the disadvantage of taking too long and being repetitive, when a large number of images need to be processed. An active contour algorithm was tested in a sequence of images taken by a microscope. This algorithm, more commonly known as snakes, allowed the user to define an initial region in which the cell was incorporated. Then, the algorithm would run several times, making the initial region contours to converge to the cell boundaries. With the final contour, it was possible to extract region properties and produce statistical data. This data allowed to say that this algorithm produces similar results to a purely manual system but at a faster rate. On the other hand, it is slower than a purely automatic way but it allows the user to adjust the contour, making it more versatile and tolerant to image variations.