AUTOMATED THERAPY MONITORING IN LEUKEMIA CYTOGENETICS

这个项目的目标是开发一套显著改进的 细胞遗传学标本制备与自动图像分析 白血病的诊断和监测进展、应答的技术 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 将减少白血病诊断和治疗的时间和成本要求 监测治疗情况，为诊断和治疗提供更多量化数据 后续行动。 具体地说，我们将开展骨髓标本的制备、染色 和标签技术以及自动图像分析硬件和 用于分离和量化间期细胞数量的软件 基于(1)细胞遗传学正常与异常，(2)增殖 指标和(3)细胞成熟度状态。 我们将使用(1)间期细胞核上的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 确定细胞增殖指数；(3)计算机形态学 图像分析以评估细胞的成熟状态。分析将是 在自动显微镜上完成，该显微镜可以在无人值守的情况下处理60张幻灯片。 这一新功能将显著提高 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.