Objective: Intraductal papillary-mucinous neoplasms (IPMN) of the pancreas are mucin-producing tumors recently recognized as a distinct entity among other mucinous pancreatic tumors. Endoscopic-ultrasound guided fine needle aspiration (EUS-FNA) is a sensitive technique which can be very useful in the accurate diagnosis of these neoplasms. Method: We present a case of a 30-year-old female with recurrent episodes of acute pancreatitis and a 49-year-old male with abdominal pain. TC showed a 26 mm-cystic tumor at the uncinated process of the pancreatic head and cystic dilatation of the main pancreatic duct, respectively. In both cases EUS-FNA was performed. Results: Smears showed medium-to-large, cohesive groups and complex papillary clusters set in a clean, mucoid background, composed of cuboidal or columnar epithelial cells with abundant clear or mucinous citoplasms. A honeycomb arrangement was occasionally seen. Although nuclei were predominantly medium-size and uniform, some groups showed some nuclear enlargement and pleomorphism with visible nucleoli. A diagnosis of "mucinous neoplasm with papillary pattern" was rendered in both cases, followed by partial pancreatectomy. The histologic examination was consistent with IPMN. Conclusion: The cytologic features of intraductal mucinous papillary neoplasms of the pancreas, evaluated by EUS-FNA, seems to be quite characteristic of these tumors and allow to suggest a correct preoperative diagnosis. Objective: The human IGH locus at chromosome 14q32 is frequently involved in different translocations of non Hodgkin Lymphoma (NHL), and the detection of any breakage involving the IGH locus should identify a B-cell NHL. The split signal IGH FISH-CISH DNA probe (IFCD) is a mixture of two fluorochrome-labeled DNAs that binds the telomeric and the centromeric segments, on the IGH breakpoint respectively. We tested the capability of the IFCD to detect IGH translocations and diagnose B-cell NHL on cytological samples. Method: Fifty cytological specimens from lymphoproliferative processes were tested using the IFCD and the results compared to light chain assessment by flow cytometry (FC), IGH status by PCR, and to clinical-histological data. Results: IFCD analysis detected 29 positive, 15 negative and 6 inadequate cases; there were 29 true positive (66 %), 9 true negative (20 %), 6 false negative (14 %) and 0 false positive cases (0 %). Comparing the sensitivity of the IFCD with FC and PCR, the highest sensitivity was obtained by FC followed by IFCD and PCR. Conclusion: The IFCD is effective in detecting any translocation involving the IGH locus; it can be employed on different samples from different B-cell NHL whereas it is not useful to classify the specific entities. Sunday, 9 September 2012, 09.30 -10. Objective: Morphometric analysis of the glands and inflammatory cells proportions in colon mucosa may be crucial for distinction of subtle changes. The most important step is a recognition and proper segmentation of the separate glands, even branched, atrophic or distorted. Method: New sequential algorithm has been proposed, based on mathematical morphology transformations, such as extended regional maxima, hit-or-miss, opening and closing operations. For lumen opened glands snake algorithm with closing has been applied to surrounding elements with sequential elimination of the closed contours under decreasing area criterion. Proposed method has been used to evaluate 47 cases of diversion colitis to compare specimens sampled from functional part of colon and defunctioned distal one. Results: The appropriate results were obtained for specimens with different section planes with efficiency 89 %. In comparison of the B to A was observed decreased participation of epithelium in the glands area measured in deep region (an average 57 % instead 68 %). In addition, the area of the gland was slightly reduced from 51 % to 46 % of the mucosa. Conclusion: The proposed method can be useful to automatic morphometry analysis of the gland shape in colon mucosa. The recognition of the opened glands improves previously designed algorithms. Objective: Quantitative analysis of the immunohistochemical histological samples plays an important role in the diagnosis and prognosis of many cancers. The commercial and non-commercial software's to computerized image analysis of microscopic images based in several approaches. Method: The advance segmentation scheme usually consists of preprocessing, nuclei extraction and classifier blocks. When the preprocessing step includes filtering and conversion to the most discriminative representation and the classifier can be realized by various tools, especially Support Vector Machine as a state-of-art, nuclei extraction is the most crucial part of any algorithms. We compare single thresholding methods such as Otsu, Kurita, minimum error, entropy thresholding, with the sequential thresholding approaches combined with area criteria, local threshold value or extended regional maxima. All of them are accompanied by watershed method and filtration. Results: For Ki-67 stained meningioma specimens in the fields of view without overlapping nuclei the most advance methods are adequate. When increasing the cell number, only sequential thresholding with area criteria and extended regional maxima give acceptable results. The mean relative error is 2.6 ± 2.2 and 5.4 ± 6.4 % respectively. Conclusion: The results confirm the efficiency of using sequential methods for segmentation of cell nuclei. For best results, use sequential thresholding with area criteria.