AUTOMATED THERAPY MONITORING IN LEUKEMIA CYTOGENETICS

该项目的目标是开发一套显著改进的 细胞遗传学标本制备和自动图像分析 诊断白血病和监测进展的技术， 治疗和缓解疾病。这些技术将在 间期细胞，避免了培养中期细胞的需要。这 将减少白血病诊断的时间和成本要求， 治疗监测，并提供更多的定量数据用于诊断， 随访 具体来说，我们将制定骨髓标本制备、染色 标签技术和自动图像分析硬件， 软件来对间期细胞的数量进行分类和量化 基于（1）细胞遗传学正常与异常，（2）增殖 （3）细胞成熟状态。 我们将使用（1）间期核上的DNA探针来确定哪些细胞 有特定的白血病相关染色体异常，（2）抗BRDU 测定细胞增殖指数;（3）计算机形态学检测 图像分析以评价细胞成熟状态。分析将 在无人值守的自动显微镜上完成，可以处理60张载玻片。 这一新功能将大大提高 临床医生诊断白血病和监测治疗。

The goal of this project is to develop a set of significantly improved cytogenetics specimen preparation and automated image analysis techniques for diagnosing leukemia and monitoring the progress, response to therapy and remission of the disease. These techniques will work on interphase cells, avoiding the need for culturing metaphase cells. This will reduce the time and cost requirements of leukemia diagnosis and therapy monitoring and provide more quantitative data for diagnosis and follow-up. Specifically, we will develop bone marrow specimen preparation, staining and labelling techniques and automated image analysis hardware and software to fractionate and quantify the numbers of interphase cells based on (1) cytogenetically normal versus abnormal, (2) proliferation index and (3) state of cell maturity. We will use (1) DNA probes on interphase nuclei to determine which cells have specific leukemia-related chromosomal abnormalities, (2) Anti-BRDU to determine proliferation index, and (3) computerized morphological image analysis to evaluate state of cell maturity. The analysis will be done on an automated microscope that can process 60 slides unattended. This new capability will significantly increase the ability of clinicians to diagnose leukemia and monitor therapy.