Article
Optics
Chengxin Zhou, Tao Huang, Zhenghui Wang, Shengde Liu, Liyun Zhong, Giancarlo Pendrini, Caojin Yuan, Xiaoxu Lu
Summary: The study introduces a quantitative differential interference contrast microscopy system that utilizes a liquid crystal shearing assembly, allowing for DIC imaging with arbitrary shearing amount and direction. By compensating for errors using a quarter-wave plate and a mirror, the system demonstrates high practical value in quantitative phase measurement.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Chengxin Zhou, Xianxin Han, Zhenqian Wang, Ran Sun, Wanqing Zhong, Giancarlo Pedrini, Liyun Zhong, Xiaoxu Lu
Summary: In this paper, a differential phase measurement method based on synchronous phase shift determination is proposed. The method achieves a phase measurement accuracy higher than 0.007 rad and exhibits advantages in error compensation, anti-interference, and noise suppression.
Article
Multidisciplinary Sciences
Carly Kempster, George Butler, Elina Kuznecova, Kirk A. Taylor, Neline Kriek, Gemma Little, Marcin A. Sowa, Tanya Sage, Louise J. Johnson, Jonathan M. Gibbins, Alice Y. Pollitt
Summary: This study utilized a convolutional neural network (CNN) to automatically analyze platelet spreading assays captured by differential interference contrast (DIC) microscopy. Compared to manual analysis, the CNN provided more accurate evaluations of platelet morphology, minimizing biases and variations associated with manual annotation.
SCIENTIFIC REPORTS
(2022)
Article
Optics
Chiara Bonati, Damien Loterie, Timothe Laforest, Christophe Moser
Summary: A lock-in method is introduced to enhance the phase contrast in incoherent differential phase contrast (DPC) imaging. By analog removal of the background, this method improves the phase sensitivity. Experimental results show an 8-fold increase in sensitivity and a 70-fold reduction in data collection compared to standard DPC measurements. The method achieves a single-shot sensitivity of 0.7 mrad at a frame rate of 1400 frames per second. This approach opens up possibilities for the use of incoherent phase microscopy in biological applications requiring high phase sensitivity and millisecond response time.
PHOTONICS RESEARCH
(2022)
Article
Engineering, Environmental
Jiyun Han, Subeen Park, Mingizem Gashaw Seid, Byeongho Park, Soo Hyun Lee, Hyung Min Kim, Changha Lee, Jaesang Lee, Jae Hun Kim, Seok Won Hong
Summary: Due to the increase in plastic waste during the COVID-19 pandemic, concerns about microplastic pollution in water environments are growing. In this study, a differential interference contrast (DIC) system was proposed and demonstrated to detect microplastics in aqueous samples. The results showed that this method enables real-time morphological detection and quantification of microplastics down to 200 nm, improving analysis efficiency and size-detection limit.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Biochemical Research Methods
Sebastian Acuna, Mayank Roy, Luis E. Villegas-Hernandez, Vishesh K. Dubey, Balpreet Singh Ahluwalia, Krishna Agarwal
Summary: Contrast in fluorescence microscopy images can be increased by exploiting the fluctuation of emitters in a stack of images, yielding results comparable to structured illumination microscopy in tissue samples.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Ophthalmology
Danial Roshandel, Danuta M. Sampson, David A. Mackey, Fred K. Chen
Summary: This study investigates the discordance between the adaptive optics (AO) montage center (AMC) and the foveal pit center (FPC) and its implications for cone mosaic analysis. The results show a marked mismatch between the AMC and FPC, which may be modified by diseases such as rod-cone dystrophy. The distance between AMC and FPC is a significant determinant of cone density and inter-cone distance.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2022)
Article
Chemistry, Analytical
Muhammad A. Sami, Muhammad Nabeel Tahir, Umer Hassan
Summary: This study presents a novel method for automated quality assessment of fluorescent images captured using smartphone fluorescence microscopes. The method utilizes feature extraction methods to identify and measure multiple features of interest in leukocyte and micro-nanoparticle images. The results show that the method is able to accurately assess the quality of fluorescent images and is highly correlated with manual calculations.
Article
Optics
Mingtao Shang, Zhiwei Zhou, Weibing Kuang, Yujie Wang, Bo Xin, Zhen-Li Huang
Summary: Single molecule localization microscopy often suffers from sample drift due to long image acquisition time, but using DPC microscopy can improve image contrast and provide a more precise and robust 3D drift correction method.
Article
Computer Science, Interdisciplinary Applications
Weixun Chen, Min Liu, Hao Du, Miroslav Radojevic, Yaonan Wang, Erik Meijering
Summary: This paper proposes a novel method called SPE-DNR that combines spherical-patches extraction and deep-learning for neuron reconstruction. Experimental results demonstrate that the method is competitive and robust.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Multidisciplinary Sciences
E. K. G. D. Ferreira, D. S. D. Lara, G. F. Silveira
Summary: The objective of this study is to evaluate the performance of predictive models using CNN in identifying the number of cells in HCS digital contrast microscopy images. The study found that the number and quality of images significantly affect the predictive ability.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Ludovica Parisi, Andrea Toffoli, Benedetta Ghezzi, Paola Lagonegro, Giovanna Trevisi, Guido M. Macaluso
Summary: The study of the intimate connection between cells and titanium implant surfaces is a major challenge for dental materials scientists, requiring suitable imaging techniques. The combination of scanning electron microscopy with a focused ion beam can be used to investigate the relationship between cells and biomaterials.
Article
Materials Science, Multidisciplinary
Xinyuan Xu, Zefeng Yu, Wei-Ying Chen, Aiping Chen, Arthur Motta, Xing Wang
Summary: This study presents an automated approach for characterizing grain morphology in TEM images recorded during ion irradiation. By combining a machine learning model and a computer vision algorithm, comparable results to human analysis can be achieved with significantly reduced analysis time. Researchers can train their own models following the procedures described in this study to automate grain morphology analysis of their own TEM images.
JOURNAL OF NUCLEAR MATERIALS
(2024)
Article
Optics
Joshua M. Long, Ji Ye Chun, Thomas K. Gaylord
Summary: In this study, the alternating direction method of multipliers (ADMM) is applied to tomographic deconvolution phase microscopy (TDPM) to optimize image fidelity by minimizing noise, using total variation regularization, and implementing constraints. ADMM-TDPM achieves speedups in image acquisition and processing times with higher accuracy compared to TDPM.
Article
Ophthalmology
Jing-Hao Qu, Xiao-Ran Qin, Rong-Mei Peng, Ge-Ge Xiao, Jian Cheng, Shao-Feng Gu, Hai-Kun Wang, Jing Hong
Summary: The study developed a fully automated system for assessing corneal endothelial cells, which was found to be more efficient and accurate through testing on 184 images.
AMERICAN JOURNAL OF OPHTHALMOLOGY
(2022)
Article
Neurosciences
Alexandra Nathalie Schiviz, Thomas Ruf, Anna Kuebber-Heiss, Christlan Schubert, Peter Kurt Ahnelt
JOURNAL OF COMPARATIVE NEUROLOGY
(2008)
Article
Ophthalmology
Martin Gloesmann, Marianne Steiner, Leo Peichl, Peter K. Ahnelt
Article
Ophthalmology
C. Glittenberg, C. Schubert, D. Meisel, B. Viola, S. Binder, P. K. Ahnelt
OPHTHALMIC AND PHYSIOLOGICAL OPTICS
(2009)
Article
Optics
Enrique J. Fernandez, Boris Hermann, Boris Povazay, Angelika Unterhuber, Harald Sattmann, Bernd Hofer, Peter K. Ahnelt, Wolfgang Drexler
Article
Optics
Cristiano Torti, Boris Povazay, Bernd Hofer, Angelika Unterhuber, Joseph Carroll, Peter Kurt Ahnelt, Wolfgang Drexler
Article
Multidisciplinary Sciences
Marina Zieger, Peter K. Ahnelt, Pavel Uhrin
Article
Neurosciences
Fernando Allan de Farias Rocha, Peter K. Ahnelt, Leo Peichl, Cezar A. Saito, Luiz Carlos L. Silveira, Silene Maria A. De Lima
VISUAL NEUROSCIENCE
(2009)
Article
Ophthalmology
Kristian Bredies, Marcus Wagner, Christian Schubert, Peter Ahnelt
Article
Neurosciences
Peter Kurt Ahnelt, Christian Schubert, Anna Kuebber-Heiss, Alexandra Schiviz, Elisabeth Anger
VISUAL NEUROSCIENCE
(2006)
Article
Multidisciplinary Sciences
K Bizheva, R Pflug, B Hermann, B Povazay, H Sattmann, P Qiu, E Anger, H Reitsamer, S Popov, JR Taylor, A Unterhuber, P Ahnelt, W Drexler
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2006)
Article
Neurosciences
EJ Fernández, B Povazay, B Hermann, A Unterhuber, H Sattmann, PM Prieto, R Leitgeb, P Ahnelt, P Artal, W Drexler
Article
Neurosciences
SMA De Lima, PK Ahnelt, TO Carvalho, JS Silveira, FAF Rocha, CA Saito, LCL Silveira
VISUAL NEUROSCIENCE
(2005)
Article
Ophthalmology
EM Anger, A Unterhuber, B Hermann, H Sattmann, C Schubert, JE Morgan, A Cowey, PK Ahnelt, W Drexler
EXPERIMENTAL EYE RESEARCH
(2004)
Review
Microscopy
VB Meyer-Rochow, S Wohlfahrt, PK Ahnelt
