Ho Derek, Drake Tyler K, Bentley Rex C, Valea Fidel A, Wax Adam
Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
Biomed Opt Express. 2015 Jul 7;6(8):2755-65. doi: 10.1364/BOE.6.002755. eCollection 2015 Aug 1.
We evaluate a new hybrid algorithm for determining nuclear morphology using angle-resolved low coherence interferometry (a/LCI) measurements in ex vivo cervical tissue. The algorithm combines Mie theory based and continuous wavelet transform inverse light scattering analysis. The hybrid algorithm was validated and compared to traditional Mie theory based analysis using an ex vivo tissue data set. The hybrid algorithm achieved 100% agreement with pathology in distinguishing dysplastic and non-dysplastic biopsy sites in the pilot study. Significantly, the new algorithm performed over four times faster than traditional Mie theory based analysis.
我们评估了一种新的混合算法,该算法利用角分辨低相干干涉测量法(a/LCI)对离体宫颈组织进行测量,以确定细胞核形态。该算法结合了基于米氏理论和连续小波变换的逆光散射分析。使用离体组织数据集对该混合算法进行了验证,并与基于传统米氏理论的分析进行了比较。在初步研究中,该混合算法在区分发育异常和非发育异常活检部位方面与病理学结果达成了100%的一致。值得注意的是,新算法的运行速度比基于传统米氏理论的分析快四倍以上。