Göröcs Zoltán, Baum David, Song Fang, de Haan Kevin, Ceylan Koydemir Hatice, Qiu Yunzhe, Cai Zilin, Skandakumar Thamira, Peterman Spencer, Tamamitsu Miu, Ozcan Aydogan
Electrical and Computer Engineering Department, University of California, Los Angeles, 420 Westwood Plaza, Engineering IV. 68-119, Los Angeles, CA 90095, USA.
Lab Chip. 2020 Nov 24;20(23):4404-4412. doi: 10.1039/d0lc00708k.
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning and holography to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput of 100 mL h-1. This flow cytometer uses lens free color holographic imaging to capture and reconstruct phase and intensity images of microscopic objects in a continuously flowing sample, and automatically identifies Giardia lamblia cysts in real-time without the use of any labels or fluorophores. The imaging flow cytometer is housed in an environmentally-sealed enclosure with dimensions of 19 cm × 19 cm × 16 cm and weighs 1.6 kg. We demonstrate that this portable imaging flow cytometer coupled to a laptop computer can detect and quantify, in real-time, low levels of Giardia contamination (e.g., <10 cysts per 50 mL) in both freshwater and seawater samples. The field-portable and label-free nature of this method has the potential to allow rapid and automated screening of drinking water supplies in resource limited settings in order to detect waterborne parasites and monitor the integrity of the filters used for water treatment.
我们报告了一种现场便携式且经济高效的成像流式细胞仪，它利用深度学习和全息术，以100 mL h-1的体积通量准确检测水样中的蓝氏贾第鞭毛虫囊肿。这种流式细胞仪采用无透镜彩色全息成像来捕获和重建连续流动样品中微观物体的相位和强度图像，并在不使用任何标记物或荧光团的情况下实时自动识别蓝氏贾第鞭毛虫囊肿。该成像流式细胞仪安装在一个环境密封的外壳中，尺寸为19 cm×19 cm×16 cm，重1.6 kg。我们证明，这种与笔记本电脑相连的便携式成像流式细胞仪能够实时检测和定量淡水和海水样品中低水平的贾第虫污染（例如，每50 mL<10个囊肿）。这种方法的现场可携带性和无标记特性有可能在资源有限的环境中对饮用水供应进行快速自动筛查，以检测水源性寄生虫并监测用于水处理的过滤器的完整性。
