Multi-color LUCAS: Lensfree On-chip Cytometry Using Tunable Monochromatic Illumination and Digital Noise Reduction

Multi-color LUCAS: Lensfree On-chip Cytometry Using Tunable Monochromatic Illumination and Digital Noise Reduction
复制标题

DOI:
10.1007/s12195-008-0018-6
复制
发表时间:
2008-09-01
影响因子:
2.8
通讯作者:
Ozcan, Aydogan
Ozcan, Aydogan
中科院分区:
工程技术4区
文献类型:
--
作者:
Seo, Sungkyu;Su, Ting-Wei;Ozcan, Aydogan

文献摘要

被引文献

相似文献

最近的研究表明,通过在不相干白光照射下将每个细胞的经典衍射图案并行记录到光电传感器阵列上,可以在类似于 10 cm(2) 的超大视场内对同质细胞溶液进行快速片上监测。在这里,我们提出了对之前方法的几项重大改进。首先,通过实验结果,我们说明使用窄带短波长照明(例如,-300 nm)显着提高了细胞衍射特征的数字信噪比,这意味着景深(例如,类似于 5 mm)的显着增加,因此可以成像的样品体积(例如,5 mL)显着增加。其次,我们还说明,通过改变照明波长,可以调整记录的细胞特征的纹理,以实现异质细胞溶液中目标细胞类型的自动识别和表征。第三,还证明了结合两种不同波长的混合成像方案可以提高记录的细胞衍射图像的均匀性和信噪比。最后,我们证明通过利用自适应数字滤波可以进一步提高图像质量。这些值得注意的改进对于实现更可靠的性能来快速检测和计数异质样品体积中存在的许多其他细胞中的目标细胞类型尤其重要。例如,类似于 5 mL。这种不相干的片上成像平台可能会产生重大影响,特别是对于与全球健康问题(例如艾滋病毒监测)相关的医疗诊断应用。
It has been recently demonstrated that rapid on-chip monitoring of a homogenous cell solution within an ultra-large field-of-field of similar to 10 cm(2) is feasible by recording the classical diffraction pattern of each cell in parallel onto an opto-electronic sensor array under incoherent white light illumination. Here we present several major improvements over this previous approach. First, through experimental results, we illustrate that the use of narrowband short wavelength illumination (e. g., at -300 nm) significantly improves the digital signal-to-noise ratio of the cell diffraction signatures, which translates itself to a significant increase in the depth-of-field (e. g., similar to 5 mm) and hence the sample volume (e. g., 5 mL) that can be imaged. Second, we also illustrate that by varying the illumination wavelength, the texture of the recorded cell signatures can be tuned to enable automated identification and characterization of a target cell type within a heterogeneous cell solution. Third, a hybrid imaging scheme that combines two different wavelengths is also demonstrated to improve the uniformity and signal-to-noise ratio of the recorded cell diffraction images. Finally, we demonstrate that a further improvement in image quality can be achieved by utilizing adaptive digital filtering. These noteworthy improvements are especially quite important to achieve more reliable performance for rapid detection and counting of a target cell type among many other cells present within a heterogeneous sample volume of e. g., similar to 5 mL. This incoherent on-chip imaging platform may have a significant impact especially for medical diagnostic applications related to global health problems such as HIV monitoring.