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Lensfree holographic imaging for on-chip cytometry and diagnostics.用于片上细胞计数和诊断的无透镜全息成像。
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Lensless high-resolution on-chip optofluidic microscopes for Caenorhabditis elegans and cell imaging.用于秀丽隐杆线虫和细胞成像的无透镜高分辨率片上光流体显微镜。
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Volumetric three-dimensional recognition of biological microorganisms using multivariate statistical method and digital holography.使用多元统计方法和数字全息术对生物微生物进行体积三维识别。
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Optofluidic microscopy--a method for implementing a high resolution optical microscope on a chip.光流控显微镜——一种在芯片上实现高分辨率光学显微镜的方法。
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高通量无透镜芯片血液分析。

High-throughput lens-free blood analysis on a chip.

机构信息

Electrical Engineering Department, University of California, Los Angeles, California 90095, USA.

出版信息

Anal Chem. 2010 Jun 1;82(11):4621-7. doi: 10.1021/ac1007915.

DOI:10.1021/ac1007915
PMID:20450181
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2892055/
Abstract

We present a detailed investigation of the performance of lens-free holographic microscopy toward high-throughput on-chip blood analysis. Using a spatially incoherent source that is emanating from a large aperture, automated counting of red blood cells with minimal sample preparation steps at densities reaching up to approximately 0.4 x 10(6) cells/muL is presented. Using the same lens-free holographic microscopy platform, we also characterize the volume of the red blood cells at the single-cell level through recovery of the optical phase information of each cell. We further demonstrate the measurement of the hemoglobin concentration of whole blood samples as well as automated counting of white blood cells, also yielding spatial resolution at the subcellular level sufficient to differentiate granulocytes, monocytes, and lymphocytes from each other. These results uncover the prospects of lens-free holographic on-chip imaging to provide a useful tool for global health problems, especially by facilitating whole blood analysis in resource-poor environments.

摘要

我们对无透镜全息显微镜在高通量片上血液分析方面的性能进行了详细研究。使用从大孔径发出的空间非相干光源,在无需进行最小样本制备步骤的情况下,在密度高达约 0.4 x 10(6) 个细胞/μL 的情况下实现了红细胞的自动计数。使用相同的无透镜全息显微镜平台,我们还通过恢复每个细胞的光学相位信息来表征单细胞水平的红细胞体积。我们进一步证明了对全血样本的血红蛋白浓度的测量以及白细胞的自动计数,这也在足以区分粒细胞、单核细胞和淋巴细胞的亚细胞水平上提供了空间分辨率。这些结果揭示了无透镜全息片上成像的前景,为全球健康问题提供了一种有用的工具,特别是通过促进在资源匮乏的环境中进行全血分析。