The National Digital Library Finna Among Digital Research Infrastructures in Finland

Heli Kautosen esitys Epics, Digital Cultural Heritage and Vernacular Languages. Corpora and Databases in Oral Tradition Research -seminaarissa Helsingissä 2.3.2013.

The Finnish National Digital Library: a national service is developed in collaboration with a network of libraries, archives and museums

Insight-lehden numerossa 26 (Maaliskuu 2013) julkaistu artikkeli.

Quantificação computadorizada dos índices de placa e cálculo dentais da imagem digital da superfície vestibular dos dentes de cães

A doença periodontal é causada pelo acúmulo de placa bacteriana sobre os dentes e estruturas adjacentes. Para sua mensuração têm sido formulados índices que consideram a quantidade e intensidade de placa bacteriana (PB) e de cálculo dental (CD) existentes na superfície dentária por meio de avaliação visual subjetiva. O presente estudo tem como objetivo avaliar o método de análise computadorizada para medição de área de PB e CD nos dentes de cães através da comparação com a avaliação visual. Foram utilizados 10 cães Beagles, três machos e sete fêmeas, com similares características e mantidos sob o mesmo manejo e dieta alimentar. As avaliações das superfícies vestibulares dos dentes ocorreram antes da profilaxia dentária, que foi realizada sob anestesia geral inalatória, e após sete dias para PB e após 28 dias para CD. A avaliação computadorizada da área de CD demonstrou ser estatisticamente melhor em relação à avaliação visual antes e após a profilaxia; entretanto, não demonstrou diferença significante na avaliação da PB. Concluiu-se que a avaliação computadorizada é vantajosa em relação à visual por conferir maior precisão na obtenção da proporção entre área total do dente e área acometida, mostrando-se estatistticamente superior na quantificação do CD após 28 dias.

Digital dermatitis of the accessory digits of dairy cows

This report characterizes the digital dermatitis (DD) lesions in the accessory digits of dairy cows and presents data on the applied therapy. Fifteen Holstein cattle with DD affecting the accessory digits of the hindlimbs from four dairy farms with previous history of DD were evaluated. Lesions were excised, the wounds were sutured, and a topical application of oxytetracycline powder covered by bandaging was associated with a single parenteral administration of long acting oxytetracycline IM (20mg/kg). Tissue samples were obtained for histopathology and transmission electronic microscopy (TEM). Lesions from all the animals were recuperated 15 days after surgical procedure. Overal, most DD lesions were papillomatous epidermal projections or wartlike verrucous lesions. Histopathologically, samples revealed hyperplasia of epidermis with hyperkeratosis, several mitoses in the stratum basale and elongated rete ridges in the superficial and middle dermis. TEM revealed long, thin spirochete-like bacteria. Morphologic features of lesions and its response to therapy were comparable to those described for DD.

Evaluation of follicular lymphoid depletion in the Bursa of Fabricius: an alternative methodology using digital image analysis and artificial neural networks

Fifty Bursa of Fabricius (BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles were scored and grouped in a binary fashion the sensibility increased to 90% and obtained the maximum value for the specificity of 92%. These results demonstrate that the use of digital image analysis and ANN is a useful tool for the pathological classification of the BF lymphoid depletion. In addition it provides objective results that allow measuring the dimension of the error in the diagnosis and classification therefore making comparison between databases feasible.