Song Pengming, Guo Chengfei, Jiang Shaowei, Wang Tianbo, Hu Patrick, Hu Derek, Zhang Zibang, Feng Bin, Zheng Guoan
Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Department of Computer Science, University of California Irvine, Irvine, CA, 92697, USA.
Lab Chip. 2021 Nov 25;21(23):4549-4556. doi: 10.1039/d1lc00719j.
We report the implementation of a fully on-chip, lensless microscopy technique termed optofluidic ptychography. This imaging modality complements the miniaturization provided by microfluidics and allows the integration of ptychographic microscopy into various lab-on-a-chip devices. In our prototype, we place a microfluidic channel on the top surface of a coverslip and coat the bottom surface with a scattering layer. The channel and the coated coverslip substrate are then placed on top of an image sensor for diffraction data acquisition. Similar to the operation of a flow cytometer, the device utilizes microfluidic flow to deliver specimens across the channel. The diffracted light from the flowing objects is modulated by the scattering layer and recorded by the image sensor for ptychographic reconstruction, where high-resolution quantitative complex images are recovered from the diffraction measurements. By using an image sensor with a 1.85 μm pixel size, our device can resolve the 550 nm linewidth on the resolution target. We validate the device by imaging different types of biospecimens, including , yeast cells, , and . We also demonstrate a high-resolution ptychographic reconstruction at a video framerate of 30 frames per second. The reported technique can address a wide range of biomedical needs and engenders new ptychographic imaging innovations in a flow cytometer configuration.
我们报告了一种名为光流控叠层成像术的全片上无透镜显微镜技术的实现。这种成像方式补充了微流控技术所提供的小型化,并允许将叠层成像显微镜集成到各种芯片实验室设备中。在我们的原型中,我们在盖玻片的顶表面放置一个微流控通道,并在底表面涂覆一层散射层。然后将通道和涂覆的盖玻片基板放置在图像传感器上方以采集衍射数据。类似于流式细胞仪的操作,该设备利用微流控流将样本输送通过通道。来自流动物体的衍射光由散射层调制,并由图像传感器记录以进行叠层成像重建,从衍射测量中恢复高分辨率定量复图像。通过使用像素尺寸为1.85μm的图像传感器,我们的设备可以分辨分辨率目标上550nm的线宽。我们通过对不同类型的生物样本成像来验证该设备,包括酵母细胞等。我们还展示了在每秒30帧的视频帧率下的高分辨率叠层成像重建。所报道的技术可以满足广泛的生物医学需求,并在流式细胞仪配置中带来新的叠层成像创新。