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Biomedical subjects

A Bollea

Publications and source records attributed to A Bollea.

5 recordsLinked to original sources
PubMed1993

In situ hybridization histochemistry quantification: automatic count on single cell in digital image.

It is extremely useful in investigations of the central nervous system (CNS) to measure mRNA expression in cells by in situ hybridization. However, this approach is limited by the difficulties of a reliable quantitative evaluation. In the present paper we describe a method for quantifying radioactive hybrids on individual cells by a silver grain count in digital images. Quantification is based on the real size and grey level of a single grain obtained by computerized microscope image analysis (IBAS 2, Kontron-Zeiss, PC 286). The program provides for automatic identification of cell area, the portion occupied by grains and their grey level. The number of grains per cell results from a mathematical function integrating these parameters with a 'density factor'. This factor is introduced to better estimate the number of grains when there is overlapping. The method was tested by measuring the expression of preproNPY (pp-NPY) mRNA in rat dentate gyrus and preproSomatostatin (pp-SOM) mRNA in frontal cerebral cortex of control and colchicine-treated rats. Colchicine did not modify the number of pp-SOM mRNA-positive cells but reduced the expression per cell. These results confirm the advantages of our method to quantify a wide range of silver grains (10-5000) and improves the sensitivity of in situ hybridization. With this support the in situ hybridization technique could be considered a real quantitative method for measuring small alterations in neuronal function.

Analog-Digital Conversion↗
PubMed1993

Quantitative morphology and shape classification of neurons by computerized image analysis.

We describe a new image processing method for semiautomatic quantitative analysis of neuronal morphology. It has been developed in a specific image analysis environment (IBAS 2.0), but the algorithms and the methods can be employed elsewhere. The program is versatile and allows the analysis of histological preparations of different quality on the basis of different levels of evaluation and image extraction. Some significant algorithms have been implemented (i.e. one for multiple focus image acquisition and one for automatic cell body shape recognition and classification). A wide set of specific morphological parameters has been defined to allow a better mathematical characterization of neuronal morphology as regards both dendrite trees and cell bodies. Cell bodies' shapes can be classified automatically, defining different neuronal populations. This is done by evaluating the number of main dendrites and perikarya shapes through a multi-valued-decision-tree based method, tested on somatostatin-positive cells in mouse brain. The methods presented have been applied to analysis of neurons, but they can well be used for any quantitative morphological study of other cell populations.

Algorithms↗
PubMed1981

A longitudinal electroencephalographic study in acute leukaemia.

A longitudinal electroencephalographic study of 100 patients suffering from acute leukaemia is reported. An high incidence of EEG abnormalities indicates the central nervous system involvement with no clinical manifestations. The patients have been divided in two groups: A) with normal EEG and B) with pathological (cerebro-meningeal localisation) but many causes (metabolic, toxic or microcirculatory disturbances) can produce the abnormalities. Moreover therapy may cause CNS disturbances with EEG evidence. The most damaging seems to be the simultaneous association of radiation therapy and methotrexate.

Acute Disease↗