Charpin C, Martin P M, Andrac L, Devictor B, Vacheret H, Lavaut M N, Jacquemier J, Toga M
Laboratoire d'Anatomie Pathologique et de Neuropathologie, Secteur Nord, Faculté de Médecine, Marseille.
Ann Pathol. 1987;7(4-5):285-96.
In the present study the immunodetection of various markers in a large series of tissue samples have been analysed through the computerized system of image analysis referred to as SAMBA 200. The immunodetection of estrogen and progesterone receptors, Laminin and type IV collagen, Ki 67, keratin, papilloma virus have been performed in frozen sections or in imprints and fine needle aspirates from tumorous and non tumorous disorders of human breast, endometrium, cervix and ovaries. Staining procedures varied with the type of the marker studied (PAP, ABC-P, ABC-GO, APAAP). The results obtained by the multiparametric SAMBA analysis were accurate, reproducible and reliable. Therefore, the SAMBA analysis providing a standardized and automatic analysis of immunodetection performed in tissue sections can be routinely used in pathology laboratories particularly for the prognostic evaluation and for the prediction of hormonotherapy and chemotherapy response of patients with solid malignant disorders.
在本研究中，通过名为SAMBA 200的计算机图像分析系统，对大量组织样本中的各种标志物进行了免疫检测分析。已在冰冻切片、印片以及来自人乳腺、子宫内膜、宫颈和卵巢的肿瘤性和非肿瘤性疾病的细针穿刺抽吸物中，对雌激素和孕激素受体、层粘连蛋白和IV型胶原、Ki 67、角蛋白、乳头瘤病毒进行了免疫检测。染色程序因所研究标志物的类型而异（PAP、ABC-P、ABC-GO、APAAP）。通过多参数SAMBA分析获得的结果准确、可重复且可靠。因此，SAMBA分析为组织切片中的免疫检测提供了标准化和自动化分析，可常规用于病理实验室，特别是用于预后评估以及预测实体恶性疾病患者的激素治疗和化疗反应。
