Article
Cell Biology
David Rene Steike, Michael Hessler, Eberhard Korsching, Florian Lehmann, Christina Schmidt, Christian Ertmer, Juergen Schnekenburger, Hans Theodor Eich, Bjoern Kemper, Burkhard Greve
Summary: In this study, label-free quantitative phase imaging (QPI) with digital holographic microscopy (DHM) was used to evaluate perioperative inflammation in patients undergoing cardiac surgery. The results showed that DHM was able to describe changes in biophysical cell properties of lymphocytes and monocytes, and correlated with routine laboratory parameters, flow cytometric cell markers, and the postoperative course.
Article
Biochemical Research Methods
Hanzi Liu, Xiaoyan Wu, Guodong Liu, Hongliang Ren, R. V. Vinu, Ziyang Chen, Jixiong Pu
Summary: Quantitative phase microscopy (QPM) is an important tool in biomedical imaging, providing label-free, noninvasive, and real-time imaging. This study introduces an on-axis phase-shifting holography based QPM system with single-shot imaging capability, demonstrating its effectiveness through experimental validation.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Optics
Manuel Montoya, Maria J. Lopera, Alejandra Gomez-Ramirez, Carlos Buitrago-Duque, Adriana Pabon-Vidal, Jorge Herrera-Ramirez, Jorge Garcia-Sucerquia, Carlos Trujillo
Summary: This paper presents FocusNET, a convolutional neural network (CNN) - based regression model, for accurately predicting the reconstruction distance of raw holograms in Digital Lensless Holographic Microscopy (DLHM). The proposal extends its applicability to different DLHM setups and is validated on holograms recorded with diverse samples and setups. FocusNET outperforms conventional autofocusing methods in terms of processing times and achieves significant reduction in processing time when implemented in batches. The datasets and code implementations are available on a public GitHub repository.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Chemistry, Analytical
Lucia Gigli, Nicoletta Braidotti, Maria Augusta do R. B. F. Lima, Catalin Dacian Ciubotaru, Dan Cojoc
Summary: Urinary tract infections are common and require screening a large number of urine samples. The researchers proposed a digital holographic microscopy (DHM) method to quickly screen out negative samples. By digitally reconstructing and counting the urine samples, bacteria, white and red blood cells, epithelial cells, and crystals were identified and classified as negative or positive. Compared with urine flow cytometry (UFC), DHM showed similar performance, indicating its suitability and speed as a screening technique with several advantages.
Article
Physics, Multidisciplinary
Ji Wu, Ju Tang, Jiawei Zhang, Jianglei Di
Summary: This study proposes a new method to suppress coherent noise in digital holography using deep learning techniques. The method does not require noise-free images and instead trains the model to generate denoised phase images through self-supervised learning. Experimental results show that this method outperforms traditional smoothing algorithms in digital holographic microscopy.
FRONTIERS IN PHYSICS
(2022)
Article
Engineering, Multidisciplinary
Hongqiang Yu, Shuhai Jia, Yuba Liu, Jun Peng, Xing Zhou, Shuming Yang
Summary: The autofocusing method based on cosine similarity is proposed for dual-wavelength digital holographic microscopy, using red and green lasers for illumination. The focus plane is determined by finding the maximum value of cosine similarity between the amplitude vectors from the reconstructed optical fields of the two wavelengths, showing effectiveness in shape measurement.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan
Summary: Digital holography is a widely used label-free microscopy technique in biomedical imaging. A new convolutional recurrent neural network (RNN) based phase recovery approach was demonstrated, which rapidly reconstructs phase and amplitude information on samples and performs autofocusing. This deep-learning-enabled holography method showed improved image quality, increased depth-of-field, and faster inference speed compared to existing methods.
Article
Chemistry, Analytical
Chayakorn Petchakup, Paul Edward Hutchinson, Hui Min Tay, Sheng Yuan Leong, King Ho Holden Li, Han Wei Hou
Summary: This study presents a new method for studying lymphocytes based on impedance, which can quickly screen the responses of specific antigen-specific T lymphocytes and be used for the characterization of host immunity and the diagnosis of infectious diseases.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Review
Nanoscience & Nanotechnology
Shizheng Zhou, Bingbing Chen, Edgar S. Fu, Hong Yan
Summary: This paper reviews the integration of microfluidic chips and computer vision in life sciences and biology research, specifically in the analysis of cell imaging data. Microfluidic chips generate large amounts of visual data at the single-cell level, while computer vision techniques rapidly process and analyze these data to extract valuable information about cellular health and function. This integrative approach allows for noninvasive and low-damage cellular characterization and provides a highly controlled environment for cell growth and manipulation, enhancing data analysis accuracy. It is expected that the combination of microelectromechanical devices, microfluidic chips, and computer vision will enable label-free, automatic, low-cost, and fast cellular information recognition and high-throughput analysis of cellular responses to different compounds for various applications in drug discovery, diagnostics, and personalized medicine.
MICROSYSTEMS & NANOENGINEERING
(2023)
Article
Biochemical Research Methods
Maximilian Emanuel Blaha, Sadat Hasan, Christian Dusny, Detlev Belder
Summary: This study presents a label-free sorting technique for cyanobacterial cells based on their fluorescence lifetime, which enables single-cell sensitivity sorting and can be used to study the effects of stressors on cyanobacterial physiology.
Article
Multidisciplinary Sciences
Rostislav Boltyanskiy, Mary Ann Odete, Fook Chiong Cheong, Laura A. Philips
Summary: Total holographic characterization (THC) is an efficient, automated, label-free method for accurately identifying cell viability. It determines the size and index of refraction of individual particles using the Lorenz-Mie theory of light scattering, and can effectively distinguish living and dead cells by their refractive index.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Electrical & Electronic
Yogesh M. Patel, Ritika Malik, Kedar Khare, Supreet Singh Bahga
Summary: We propose a microfluidic holographic cytometry technique that uses three-dimensional hydrodynamic focusing to accurately visualize, classify, and quantify cells and particles in a mixture. This technique achieves high-resolution holographic imaging without the need for computationally-expensive numerical refocusing used in existing methods. It also prevents cell clustering and can be fabricated at a low cost. The technique shows promise for label-free classification and quantification of infected cells in various applications.
JOURNAL OF MICROMECHANICS AND MICROENGINEERING
(2023)
Article
Biophysics
Rui Tang, Lin Xia, Bien Gutierrez, Ivan Gagne, Adonary Munoz, Korina Eribez, Nicole Jagnandan, Xinyu Chen, Zunming Zhang, Lauren Waller, William Alaynick, Sung Hwan Cho, Cheolhong An, Yu-Hwa Lo
Summary: Classification and sorting of cells using image-activated cell sorting (IACS) systems can provide valuable insights to biomedical sciences. However, the limited capabilities and complex implementation of deep learning-assisted IACS systems have hindered their widespread adoption in biomedical research. In this study, the authors present a label-free cell sorting solution based on real-time AI inferencing and fast training of a deep learning model. The system achieves high sorting purity with a short latency time, setting a new record for IACS with sorting by AI inference.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Biophysics
A. K. M. Arifuzzman, Norh Asmare, Tevhide Ozkaya-Ahmadov, Ozgun Civelekoglu, Ningquan Wang, A. Fatih Sarioglu
Summary: Characterization and identification of cell populations using surface markers are crucial in various applications. However, conventional techniques are limited by the need for immunolabeling, expensive instruments, and skilled operators. This study introduces an autonomous microchip that can electronically quantify the immunophenotypical composition of a cell suspension. The microchip captures different cell subtypes in separate microfluidic chambers and electrically monitors all on-chip activity, allowing real-time determination of subpopulation fractions. The capability to analyze immune cells without labels has the potential to enable remote testing and quality control in cell manufacturing.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Cell Biology
Kai Moritz Eder, Anne Marzi, Alvaro Barroso, Steffi Ketelhut, Bjoern Kemper, Juergen Schnekenburger
Summary: This study explores the use of quantitative phase imaging (QPI) with digital holographic microscopy (DHM) as a time-resolved in vitro assay to evaluate the effects of organic nanoparticles on cell viability. The results show that DHM is highly suitable for identifying harmful or low-toxic nanomaterials.
Article
Biochemical Research Methods
Maria Baczewska, Kai Eder, Steffi Ketelhut, Bjorn Kemper, Malgorzata Kujawinska
Summary: Three-dimensional quantitative phase imaging provides 3D distribution of refractive index and dry mass in cells and tissues. This study investigates the influence of chemical cell fixation on RI in cellular organelles, showing RI changes, especially in the nucleolus, after fixation. Standardized preparation procedures are needed for phase tomographic measurements.
Article
Physics, Applied
Dan Dan, Peng Gao, Tianyu Zhao, Shipei Dang, Jia Qian, Ming Lei, Junwei Min, Xianghua Yu, Baoli Yao
Summary: The study developed an integrated SIM with both super-resolution (SR) and optical sectioning (OS) capabilities, utilizing a new image reconstruction algorithm to combine the advantages of SR and OS. The validity of the integrated SIM was confirmed through experimental and simulation methods, with the potential to assist biologists in obtaining clearer SR images of thick specimens.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2021)
Article
Optics
Chao Liu, Chen Bai, Xianghua Yu, Shaohui Yan, Yuan Zhou, Xing Li, Junwei Min, Yanlong Yang, Dan Dan, Baoli Yao
Summary: The study proposes a method to generate a large field of view light-sheet by scanning multiple focus-shifted Gaussian beam arrays while maintaining high axial resolution. The complementary beam subtraction method is adopted to further improve axial resolution. Numerical simulations and experiments verify the effectiveness of the method.
Article
Engineering, Electrical & Electronic
Dan Dan, Zhaojun Wang, Xing Zhou, Ming Lei, Tianyu Zhao, Jia Qian, Xianghua Yu, Shaohui Yan, Junwei Min, Piero Bianco, Baoli Yao
Summary: The new method SDR for SIM image reconstruction is faster than the traditional FDR, making it suitable for real-time and dynamic imaging applications, enhancing SIM as the desired method for live-cell, instant super-resolution imaging.
IEEE PHOTONICS JOURNAL
(2021)
Article
Optics
Chao Liu, Xianghua Yu, Chen Bai, Xing Li, Yuan Zhou, Shaohui Yan, Junwei Min, Dan Dan, Runze Li, Shuangyu Gu, Baoli Yao
Summary: Airy beam light-sheet illumination can extend the field of view of light-sheet fluorescence microscopy, but may lead to poor axial resolution and low image contrast due to undesirable out-of-focus background. The Airy complementary beam subtraction method improves axial resolution by scanning an optimized designed complementary beam while maintaining the extended field of view, resulting in better imaging quality.
Article
Engineering, Electrical & Electronic
Tong Peng, Runze Li, Junwei Min, Dan Dan, Meiling Zhou, Xianghua Yu, Chunmin Zhang, Chen Bai, Baoli Yao
Summary: This article investigates a compressive sensing (CS) method for identifying the transmission matrix (TM) of a scatter in an imaging system. By calibrating the TM, the phase information of the object can be quantitatively obtained. This method, featuring noninterference measurements of the TM and exploiting a large field of view, can be used in phase imaging applications.
IEEE PHOTONICS JOURNAL
(2022)
Article
Optics
Chen Bai, Tong Peng, Junwei Min, Runze Li, Yuan Zhou, Baoli Yao
Summary: Dual-wavelength in-line digital holography (DIDH) is a popular method for high-accuracy phase imaging of objects, facing challenges in suppressing amplified noise and twin-image. A new DIDH network (DIDH-Net) is proposed in this paper to effectively address these challenges.
PHOTONICS RESEARCH
(2021)
Article
Cell Biology
Kai Moritz Eder, Anne Marzi, Alvaro Barroso, Steffi Ketelhut, Bjoern Kemper, Juergen Schnekenburger
Summary: This study explores the use of quantitative phase imaging (QPI) with digital holographic microscopy (DHM) as a time-resolved in vitro assay to evaluate the effects of organic nanoparticles on cell viability. The results show that DHM is highly suitable for identifying harmful or low-toxic nanomaterials.
Article
Cell Biology
David Rene Steike, Michael Hessler, Eberhard Korsching, Florian Lehmann, Christina Schmidt, Christian Ertmer, Juergen Schnekenburger, Hans Theodor Eich, Bjoern Kemper, Burkhard Greve
Summary: In this study, label-free quantitative phase imaging (QPI) with digital holographic microscopy (DHM) was used to evaluate perioperative inflammation in patients undergoing cardiac surgery. The results showed that DHM was able to describe changes in biophysical cell properties of lymphocytes and monocytes, and correlated with routine laboratory parameters, flow cytometric cell markers, and the postoperative course.
Article
Microbiology
Kari Lavinia vom Werth, Theresa Woermann, Bjoern Kemper, Philipp Kumpers, Stefanie Kampmeier, Alexander Mellmann
Summary: Sepsis is a major global disease with early identification remaining a challenge. Recent research suggests that white blood cell morphology can serve as a new biomarker for sepsis diagnosis. This study used digital holographic microscopy to analyze the effects of different bacteria on T-lymphocytes and found that different bacterial strains caused different cellular responses, potentially offering a new approach for early sepsis diagnosis and identification of causative agents.
Article
Engineering, Electrical & Electronic
Meiling Zhou, Chen Bai, Yang Zhang, Runze Li, Tong Peng, Jia Qian, Dan Dan, Junwei Min, Yuan Zhou, Baoli Yao
Summary: In this study, a deep-learning method based on the improved optical scheme is proposed to accelerate the data acquisition and image reconstruction speed of the shower-curtain effect and ptychography (PSE) for large field-of-view object reconstruction behind scattering media. By replacing the mechanical translation stage with a digital micromirror device (DMD), a large amount of training data can be collected, and single-shot pattern and sub-second reconstruction can be achieved. Qualitative and quantitative analysis on binary resolution target and 2D biological slide specimens demonstrate the effectiveness and feasibility of the proposed method, showing promising applications in tissue imaging.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2022)
Article
Optics
Jinwei Song, Junwei Min, Xun Yuan, Yuge Xue, Chen Bai, Baoli Yao
Summary: A method for quantitatively measuring the refractive index and topography of transparent samples is proposed. The method utilizes quadriwave lateral shearing interferometry to obtain quantitative phase images at different wavelengths, and uses Cauchy's dispersion formula to independently calculate the refractive indexes and physical thickness distribution of the sample. No highly dispersive medium or manual operation is required. The measured refractive indexes can identify the composition of the sample in addition to its topography. Simulation and experimental results have confirmed the effectiveness and feasibility of the proposed method.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Jose Angel Picazo-Bueno, Alvaro Barroso, Steffi Ketelhut, Juergen Schnekenburger, Vicente Mico, Bjoern Kemper
Summary: We present a novel single capture approach for simultaneous incoherent bright field (BF) and laser-based quantitative phase imaging (QPI). By implementing common-path digital holographic microscopy (DHM) in parallel with BF imaging within the optical path of a commercial optical microscope, we achieve spatially multiplexed recording of white light images and digital off-axis holograms, which are subsequently numerically demultiplexed. The performance of this multimodal concept is evaluated using microspheres and demonstrated for label-free dual-mode QPI and BF imaging of living pancreatic tumor cells.
Article
Cell Biology
Kari Lavinia vom Werth, Bjorn Kemper, Stefanie Kampmeier, Alexander Mellmann
Summary: Quantitative phase imaging (QPI) was used to detect aberrant cell morphologies caused by disease, providing a non-invasive diagnostic approach. T-cells exposed to different bacterial species and strains showed rapid morphological changes, such as cell shrinkage and alterations in phase contrast. The response varied depending on the causative pathogen and concentrations of bacterial determinants.
Article
Medicine, General & Internal
Arne Bokemeyer, Joost Buskermolen, Steffi Ketelhut, Phil-Robin Tepasse, Richard Vollenberg, Jonel Trebicka, Hartmut H. Schmidt, Michael Vieth, Dominik Bettenworth, Bjoern Kemper
Summary: Ulcerative colitis (UC) is characterized by chronic inflammation of the colorectum. The application of digital holographic microscopy (DHM) for quantitative assessment of histopathological inflammation in patients with UC has been evaluated. The results showed significant correlations between DHM-based findings and established histological scoring systems, indicating that DHM is a reliable tool for assessing mucosal inflammation in patients with UC.
JOURNAL OF CLINICAL MEDICINE
(2023)
