Automated focusing in bright-field microscopy for tuberculosis detection.
Automated focusing in bright-field microscopy for tuberculosis detection.
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DOI：
10.1111/j.1365-2818.2010.03389.x
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发表时间：
2010-11
影响因子：
2
通讯作者：
Douglas TS
中科院分区：
文献类型：
--
作者：
Osibote OA;Dendere R;Krishnan S;Douglas TS
自动化显微镜检测痰涂片载玻片中的结核分枝杆菌将使结核病负担高的国家的实验室能够有效地科普大量涂片。聚焦是自动显微镜的核心组成部分，成功的自动聚焦取决于为特定任务选择合适的聚焦算法。我们研究了Ziehl-Neelsen染色痰涂片的明视野显微镜自动聚焦算法。六个重点措施，在空间域中定义的，进行了检查的准确性，执行时间，范围，半峰全宽和局部最大值的存在。发现围绕焦平面的估计的曲线拟合产生良好的结果，并且因此是减少用于聚焦的捕获的图像的数量和处理时间的可接受的策略。Vollath的F4测量在全z堆栈中表现最好，手动和自动确定的焦点位置之间的平均差异为0.27 μm，而它与Brenner梯度在曲线拟合方面联合排名最佳。
Automated microscopy to detect Mycobacterium tuberculosis in sputum smear slides would enable laboratories in countries with a high tuberculosis burden to cope efficiently with large numbers of smears. Focusing is a core component of automated microscopy, and successful autofocusing depends on selection of an appropriate focus algorithm for a specific task. We examined autofocusing algorithms for bright-field microscopy of Ziehl–Neelsen stained sputum smears. Six focus measures, defined in the spatial domain, were examined with respect to accuracy, execution time, range, full width at half maximum of the peak and the presence of local maxima. Curve fitting around an estimate of the focal plane was found to produce good results and is therefore an acceptable strategy to reduce the number of images captured for focusing and the processing time. Vollath's F4 measure performed best for full z-stacks, with a mean difference of 0.27 μm between manually and automatically determined focal positions, whereas it is jointly ranked best with the Brenner gradient for curve fitting.
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影响因子：
2
作者：
Forero, M. G.;Cristobal, G.;Desco, M.
通讯作者：
Desco, M.
多焦点图像融合中焦点测量的评估
影响因子：
5.1
作者：
Huang, Wei;Jing, Zhongliang
通讯作者：
Jing, Zhongliang
DOI：
10.1109/34.709612
发表时间：
1998-08-01
影响因子：
23.6
作者：
Subbarao, M;Tyan, JK
通讯作者：
Tyan, JK
影响因子：
4.3
作者：
He, J;Zhou, RZ;Hong, ZL
通讯作者：
Hong, ZL
DOI：
10.1002/cyto.990120302
发表时间：
1991-01-01
期刊：
CYTOMETRY
影响因子：
--
作者：
FIRESTONE, L;COOK, K;PRESTON, K
通讯作者：
PRESTON, K