Biomedical subjects

Mario Ferraro

Publications and source records attributed to Mario Ferraro.

4 recordsLinked to original sources

PubMed2006

Calcium signals and the in vitro migration of chick ciliary ganglion cells.

We have studied calcium signals and their role in the migration of neuronal and nonneuronal cells of embryonic chick ciliary ganglion (CG). In vitro, neurons migrate in association with nonneuronal cells to form cellular aggregates. Changes in the modulus of the velocity of the neuron-nonneuronal cell complex were observed in response to treatments that increased or decreased intracellular calcium concentration. In addition, both cell types generated spontaneous calcium activity that was abolished by removal of extracellular calcium. Calcium signals in neurons could be characterized as either spikes or waves. Neuronal spikes were found to be related to action potential generation whereas neuronal waves were due to voltage-independent calcium influx. Nonneuronal cells generated calcium oscillations that were dependent on calcium release from intracellular stores and on voltage-independent calcium influx. Application of thimerosal, a compound that stimulates calcium mobilization from internal stores, increased: (1) the amplitude of spontaneous nonneuronal oscillations; (2) the area of migrating nonneuronal cells; and (3) the velocity of the neuronal-nonneuronal cell complex. We conclude that CG cell migration is a calcium dependent process and that nonneuronal cell calcium oscillations play a key role in the modulation of velocity.

Animals↗

PubMed2005

A multiresolution diffused expectation-maximization algorithm for medical image segmentation.

In this paper a new method for segmenting medical images is presented, the multiresolution diffused expectation-maximization (MDEM) algorithm. The algorithm operates within a multiscale framework, thus taking advantage of the fact that objects/regions to be segmented usually reside at different scales. At each scale segmentation is carried out via the expectation-maximization algorithm, coupled with anisotropic diffusion on classes, in order to account for the spatial dependencies among pixels. This new approach is validated via experiments on a variety of medical images and its performance is compared with more standard methods.

Algorithms↗

PubMed2001

In vitro analysis of neuron-glial cell interactions during cellular migration.

We used time-lapse microscopy to study the in vitro migration of neuronal cells from developing chick ciliary ganglion. These cells, when dissociated and cultured in a chemically defined medium, are able to migrate and to associate into clusters. We focused our attention on the study of the distribution of neuronal velocity components. Quantitative analysis of cell trajectories allowed us to demonstrate that, in many cells, velocities are well described by the Langevin equation, when deterministic components of the forces acting on the cells are taken into account. We also have shown that the majority of neurons whose movement is not purely random migrate in association with glial cells. We conclude that glial cells, by guiding neurons during migration, play an important role in the cell organization in vitro.

Animals↗

PubMed1998

Neural computations of algebraic and geometrical structures.

How Artificial Neural Networks (ANN) can be used to solve problems in algebra and geometry by modelling specific subnetwork nodes and connections is considered. This approach has the benefit of producing ANNs with well-defined hidden units and reduces the search to parameters which satisfy known model constraints-yet still gains from the benefits inherent in neural computing architectures.

Journal Article↗