fisher science education microscope imagej software

#Fisher science education microscope imagej software software

Benign proliferative, lymphoma, and metastatic disease. Sakai O, Curtin HD, Romo LV, Som PM (2000) Lymph node pathology. Raghavan V, Rao KR (2015) An ImageJ based semi-automated morphometric assessment of nuclei in oncopathology. Parmar D, Parmar D, Sawke N, Sawke GK (2015) Diagnostic application of computerised nuclear morphometric image analysis in fine needle aspirates of breast lesions. Patel KR, Patel JM, Shah KJ, Patel NU (2014) Role of FNAC in diagnosis of cervical lymphadenopathy. Nagashima T, Suzuki M, Yagata H, Hashimoto H, Shishikura T, Imanaka N, Nakajima N (2000) Cytomorphometric differentiation of intraductal proliferative breast lesions. Mueller M, Wittich G, Oeztuerk S, Kratzer W, Haenle MM, Mason RA (2012) Sonographically guided lymph node biopsy: complication rates. Meachem MD, Burgess HJ, Davies JL, Kidney BA (2012) Utility of nuclear morphometry in the cytologic evaluation of canine cutaneous soft tissue sarcomas.

Lioe T, Elliott H, Allen DC, Spence RA (1999) The role of fine needle aspiration cytology (FNAC) in the investigation of superficial lymphadenopathy uses and limitations of the technique. Kidney BA, Meachem MD (2014) Morphometric studies in veterinary cytology. Vet Clin North Am Small Anim Pract 33(1):47–67 Int J Med Sci Public Health 3(5):607–609Ĭowell RL, Dorsey KE, Meinkoth JH (2003) Lymph node cytology. Asian Pac J Cancer Prev 15(16):6919–6922īaji SN, Anand V, Sharma R, Deore KS, Chokshi M (2014) Analysis of FNAC of cervical lymph nodes: experience over a two years period. Avicenna J Med 1(1):18–28Īmbroise MM, Jothilingam P, Ramdas A (2014) Utility of nuclear morphometry in effusion cytology. Biophoton Int 11(7):36–42Īl-Abbadi MA (2011) Basics of cytology.

#Fisher science education microscope imagej software software

These results indicated that cytology is a fast, easy, and cost-effective method for the diagnosis of lymph node lesions and cytomorphologic assessment by image analysis software can increase the diagnostic accuracy.Ībràmoff MD, Magalhães PJ, Ram SJ (2004) Image processing with ImageJ. There is also a significant difference between the lymphoma and hyperplasia groups ( P < 0.05). The data obtained from nuclear parameters (diameter, circularity, area, and perimeter) revealed a significant difference between the control group and the hyperplasia and lymphoma groups. Finally, the ImageJ software was used to evaluate the quantitative nuclear morphometric parameters. The samples were then prepared for cytological and histological study. The target tissues were obtained from the animals by fine needle aspiration and lymph node removed by surgery.

For this purpose, the samples of enlarged mandibular lymph node were selected from 46 dogs suspected of lymphadenopathy and 10 healthy dogs as a control. This study was designed to evaluate the potential of the ImageJ software in the differentiation of various types of lymphadenopathies with fine needle aspiration cytology (FNAC).