Publications by authors named "Leheng Li"

Compared with machine staining, traditional manual staining faces various problems, such as a low preparation success rate, low efficiency, and harm to the human body due to corrosive gases. Therefore, a stainer that is of low cost, has strong corrosion resistance, and is suitable for small-batch preparation should be developed. In this study, by choosing a rotary scheme as the structural basis, a reusable container cover and a master-slave manipulator cooperation scheme are developed, which greatly improve the space utilization rate.

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Article Synopsis
  • Modern microscopy imaging systems are essential for medical image analysis, yet manual use can lead to issues like inefficiency and operator bias.
  • This paper introduces an enhanced U-Net salient object detection algorithm that utilizes deep learning to improve the extraction of key information and streamline complex network operations.
  • The resulting model is 56.85% smaller than the original U-Net, with increased accuracy from 92.24% to 97.13%, making it more effective for medical image processing and analysis.
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The interference-less coded aperture correlation holography is a non-scanning, motionless, and incoherent technique for imaging three-dimensional objects without two-wave interference. Nevertheless, a challenge lies in that the coded phase mask encodes the system noise, while traditional reconstruction algorithms often introduce unwanted surplus background components during reconstruction. A deep learning-based method is proposed to mitigate system noise and background components simultaneously.

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The orbital angular momentum (OAM) holography has been identified as a vital approach for achieving ultrahigh-capacity in 3D displays, digital holographic microscopy, data storage and so on. However, depth has not been widely applied as a multiplexing dimension in the OAM holography mainly because of the serious coherence crosstalk between different image layers. The multi-layered depth multiplexing OAM holography is proposed and investigated.

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