English

Xi'an Institute of Optics and Fine Mechanics has made new progress in the research of intelligent optical microscopy imaging

42
2024-09-09 16:34:45
See translation

Recently, the State Key Laboratory of Transient Optics and Photonics Technology of Xi'an Institute of Optics and Fine Mechanics has made new progress in the research of intelligent optical microscopic imaging, and the research results were published online in the international high-level academic journal Opto Electronic Advances (IF: 15.3). The first author of the paper is Tian Xuan, a 2024 doctoral candidate of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, and Li Runze, a special research assistant. The corresponding authors are Associate Researcher Bai Chen and Researcher Yao Baoli.

The phase information carried by light waves can reveal the thickness, refractive index, geometric morphology, and other characteristics of matter. As it cannot be directly sensed by optical sensors, interference methods are usually required for detection. Digital in-line holographic microscopy (DIHM) has become a commonly used method for quantitative phase imaging due to its high spatial bandwidth product, label free, non-invasive, and fast imaging speed. However, in practical applications, the interference of twin images during holographic reconstruction and the loss of sub-pixel information caused by the use of large pixel size detectors can hinder high-quality DIHM imaging. Deep learning, with its noise suppression and inverse problem solving capabilities, has become a powerful tool for DIHM imaging and pixel super resolution (PSR). However, most current deep learning based methods rely on supervised learning and training instances to optimize their weights and biases. Collecting a large number of holograms and their corresponding high-resolution raw phase maps is not only time-consuming in experiments, but also very difficult to collect training data. In addition, the trained model has very limited generalization to samples that are different from the training data.

Figure MPPN-PSR phase imaging: (a) Full field pixel super-resolution phase imaging of TOMM20 antibody cells, (b) Comparison of different PSR phase reconstruction methods, and (c) corresponding optical thickness maps.

In response to the above issues, the research team proposed a non trained neural network for DIHM pixel super-resolution phase imaging, namely the Multi Prior Physical Enhancement Neural Network (MPPN-PSR), which can reconstruct phase information of samples from coaxial holograms with high throughput, high accuracy, and high resolution. MPPN-PSR combines neural networks and physical models, encapsulating physical model priors, sparsity priors, and depth image priors in an untrained deep neural network. This avoids the need for a large amount of training data for neural networks and does not require any additional hardware design. It can achieve twin image suppression, pixel super-resolution, and high-throughput phase imaging with only a single hologram. Compared with the phase recovery method without PSR, the MPPN-PSR method increases the pixel resolution of the image by three times. Compared with the classic phase recovery method Twist TV-PSR that combines pixel super-resolution, the optical resolution is increased by about two times. Moreover, due to the use of the inherent large field of view of the low magnification objective lens, MPPN-PSR improves the spatial bandwidth product of the imaging. This research result is expected to provide reference for other digital holographic imaging schemes and be widely applied in the fields of biomedical and industrial measurement.

In recent years, the Yao Baoli team of the State Key Laboratory of Transient Optics and Photonics Technology has conducted in-depth research on intelligent optical microscopic imaging technology, and formed a variety of new optical microscopic imaging technologies, which have achieved significant improvements in imaging functions, information acquisition dimensions, performance indicators, etc., including three-dimensional imaging of full-color wide field micro light slices, fast super resolution three-dimensional imaging of confocal microscopy, fast three-dimensional microscopic imaging of light slices, etc., as well as high-resolution and high signal noise ratio microscopic imaging of light slices, computational imaging through scattering media, etc., which are achieved using compression sensing technology. The relevant research results were published in Photon Journals such as Res, Opt Lett, Opt Express, etc. In addition, the team has conducted long-term theoretical and experimental research on optical microscopy imaging and optical micro manipulation based on light field regulation. They have published more than 300 papers in journals such as PNAS, Nature Com., PRL, Rep. Prog. Phys., Adv. Opt. Photon. They have been granted multiple national invention patents and have won awards and honors such as the first and second prizes of Shaanxi Provincial Science and Technology Innovation Team and Shaanxi Provincial Key Science and Technology Innovation Team.

Source: Opticsky

Related Recommendations
  • DustPhotonic is the first to develop an 800G silicon photonic chip

    Recently, DustPhotonics released a single chip 800G-DR8 silicon photonic chip for data center applications, which is an important milestone in practical photonics in data centers. The company claims that its single-chip solution provides high-performance and easy to implement solutions for system architects.DustPhotonics' 800G-DR8 photonic integrated circuit provides a single chip solution for fib...

    2023-10-13
    See translation
  • Scientists at Peking University invent ultra-thin optical crystals for next-generation laser technology

    BEIJING, Dec. 19 (Xinhua) -- A team of Chinese researchers used a novel theory to invent a new type of ultrathin optical crystal with high energy efficiency, laying the foundation for next-generation laser technology.This photo taken on Dec. 15, 2023 shows a Twist Boron Nitride (TBN) crystal placed on a piece of fused silica in Peking University, Beijing, capital of China. A team of Chinese rese...

    2023-12-20
    See translation
  • Photon chips help drones fly unobstructed in weak signal areas

    With funding from the National Science Foundation of the United States, researchers at the University of Rochester are developing photonic chips that use quantum technology called "weak value amplification" to replace mechanical gyroscopes used in drones, enabling them to fly in areas where GPS signals are obstructed or unavailable.Using this quantum technology, scientists aim to provide the same ...

    2023-10-28
    See translation
  • Medical implant manufacturers have announced the launch of ultra-short pulse lasers for cutting applications

    Norman Noble, the world's leading contract manufacturer of next-generation medical implants, today announced the launch of the Noble STEALTH HP, an ultrashort pulse laser for the fabrication of innovative medical devices and implants.It is reported that the laser is mainly equipped with a high-power laser cutting system, which can achieve high-quality cutting results without heat affected zone (HA...

    2023-09-12
    See translation
  • Construction of Advanced New Laser Research Centers in American Universities

    The ATLAS R&D center is expected to be completed by mid-2026!A powerful new laser research facility located on the Foothills campus of Colorado State University will begin construction this month. The facility is planned to be put into use in mid-2026 and is the result of 40 years of laser development research at Colorado State University. It is a collaboration with the Fusion Energy Science P...

    2024-10-30
    See translation