Comunidade fitoplanctônica como discriminador ambiental em açude eutrófico tropical semiárido (Barragem Armando Ribeiro Gonçalves, RN) e divulgação científica para reflexão social

The knowledge of the phytoplankton community, as an integral and dynamic processes of eutrophication, provides information essential for proper management and handling. A growing problem of cyanobacteria in reservoirs around the world as a result of artificial eutrophication processes, generating a particular concern, because some species produce cyanotoxins, which can cause adverse effects on human health. The present work aims to characterize the spatial and temporal dynamics of phytoplankton, assessing their potential as ecological indicator of water quality in reservoirs semiarid region. The samples of water were collected monthly between 2009 and 2011, at three points along the dam Armando Ribeiro Gonçalves / RN. In each sample were measured physico - chemical analysis of water and biological components. We conducted a scientific dissemination activity, with distribution and reading primer on eutrophication, informative talk about water quality, questionnaires and performing a play in a public school in the city of Itajá / RN. The reservoir was considered eutrophic in three points, taking into account the values of chlorophyll -a and phosphorus, adopted to characterize eutrophic environments of semi-arid areas. High density of cyanobacteria, with a maximum value of 2.227.862 cél.ml- 1 and minimum of 43.456 cél.ml- 1 was recorded in lentic and semilêntico points throughout the study, exceeding the levels of drinking water (20.000 cél.ml- 1) established in 2.914/2011 Ordinance of the Ministry of Health of Brazil. All samples contained microcystin, and 44 % had values superiores1μg L- 1. The thermal pattern of the water column showed micro stratifications with differences of less than 1 ° C from five feet deep. The distribution pattern was the type profile clinogrado with oxygen deficit in the bottom of the reservoir. Oxiclina from 10 meters depth was observed during the rainy season (May-June) in the two years of study. The phytoplankton community was represented by 10 functional groups: S1, M, H1, Lo, P, F, Sn, P, W2 and R. The assessment of the ecological status of the system by the index Q showed poor water quality. The results of the study show that the vertical variations were less pronounced than the seasonal variations of cyanobacteria and phytoplankton community in general in the reservoir. The presence of cyanotoxins confirms the need for the monitoring of water quality and measures to reduce eutrophication in water supply reservoirs semiarid RN and demonstrates the challenge for water managers and health authorities to ensure water quality and consequently minimize risks to human health. Compared to the lecture, the primer was considered more efficient in sensitizing the participants, featuring a dynamic practice, differentiated learning, create opportunities for students to rethink attitudes of respect and care for the environment, and shall have the opportunity to learn the subject content from your reality and living environment. The knowledge generated from the activity of scientific were seen as essential for raising awareness of some of the region`s environmental problems , such as eutrophication

Modelagem dos efeitos da irradiação luminosa no cérebro de camundongos e rastreamento de neurônios durante experimentos de microscopia de fluorescência

The fluorescent proteins are an essential tool in many fields of biology, since they allow us to watch the development of structures and dynamic processes of cells in living tissue, with the aid of fluorescence microscopy. Optogenectics is another technique that is currently widely used in Neuroscience. In general, this technique allows to activate/deactivate neurons with the radiation of certain wavelengths on the cells that have ion channels sensitive to light, at the same time that can be used with fluorescent proteins. This dissertation has two main objectives. Initially, we study the interaction of light radiation and mice brain tissue to be applied in optogenetic experiments. In this step, we model absorption and scattering effects using mice brain tissue characteristics and Kubelka-Munk theory, for specific wavelengths, as a function of light penetration depth (distance) within the tissue. Furthermore, we model temperature variations using the finite element method to solve Pennes’ bioheat equation, with the aid of COMSOL Multiphysics Modeling Software 4.4, where we simulate protocols of light stimulation tipically used in optogenetics. Subsequently, we develop some computational algorithms to reduce the exposure of neuron cells to the light radiation necessary for the visualization of their emitted fluorescence. At this stage, we describe the image processing techniques developed to be used in fluorescence microscopy to reduce the exposure of the brain samples to continuous light, which is responsible for fluorochrome excitation. The developed techniques are able to track, in real time, a region of interest (ROI) and replace the fluorescence emitted by the cells by a virtual mask, as a result of the overlay of the tracked ROI and the fluorescence information previously stored, preserving cell location, independently of the time exposure to fluorescent light. In summary, this dissertation intends to investigate and describe the effects of light radiation in brain tissue, within the context of Optogenetics, in addition to providing a computational tool to be used in fluorescence microscopy experiments to reduce image bleaching and photodamage due to the intense exposure of fluorescent cells to light radiation.