Review
Computer Science, Artificial Intelligence
Raidel Herrera-Pereda, Alberto Taboada Crispi, Danilo Babin, Wilfried Philips, Marcio Holsbach Costa
Summary: This review examines digital image processing for in vivo confocal microscopy images of the cornea, highlighting the lack of quantitative studies and standardization in the preprocessing stage. Most studies do not estimate the computational cost of image processing, indicating that reliable, automatic computer-assisted image analysis of the cornea remains an open issue.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Biochemistry & Molecular Biology
Grzegorz Krasowski, Pawel Migdal, Marta Woroszylo, Karol Fijalkowski, Grzegorz Chodaczek, Joanna Czajkowska, Bartlomiej Dudek, Joanna Nowicka, Monika Oleksy-Wawrzyniak, Bartlomiej Kwiek, Justyna Paleczny, Malwina Brozyna, Adam Junka
Summary: Staphylococcal biofilms are a major cause of non-healing wound infections, and treatment usually involves the use of locally applied antiseptic agents. This study proposes and evaluates a method for assessing the impact of antiseptics on staphylococcal biofilms in vitro, based on processed images. The results show that polyhexanide and povidone-iodine have significantly higher activity against staphylococcal biofilms compared to hypochlorite. Considering that in vitro results often inform the use of antiseptic agents in hospitals and clinics, this study provides important quantitative data.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemical Research Methods
Klaus Becker, Saiedeh Saghafi, Marko Pende, Christian Hahn, Hans Ulrich Dodt
Summary: The open-source deconvolution software developed combines rolling ball background subtraction and point spread function deconvolution to increase the visibility of minute details in microscopy data. By utilizing automatic block-wise processing and GPU-acceleration, the software can deconvolve large image stacks efficiently even on small computers, with the ability to process a 3D-stack of about 1 billion voxels within 5 to 10 minutes. The implementation of Richardson-Lucy deconvolution algorithm with flux-preserving regularization preserves the photogrammetry of the image data.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Biology
Guangxu Li, Tianyu Li, Fangting Li, Chen Zhang
Summary: This study proposed a fully automatic image stitching method using neural networks, which helps to more accurately and reliably evaluate the morphology of corneal nerves. Compared to conventional methods, it improves matching accuracy and significantly reduces processing time.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Review
Biology
Nanne Nanninga
Summary: This article discusses the origin of electron microscopy and its role in studying the internal structures of bacterial cells. It highlights the use of freeze-fracture technique to examine the morphological effects of fixation on chemically fixed cells. The focus then shifts to the bacterial cell cycle and the involvement of penicillin-binding proteins in division.
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
Nanoscience & Nanotechnology
Leah R. Narun, Rebecca E. K. Fishman, Henry J. Shulevitz, Raj N. Patel, Lee C. Bassett
Summary: Researchers have developed a method using image analysis and regression fitting to automatically identify Gaussian emitters in photoluminescence images and classify them based on their stability, shape, and intensity. They demonstrated the effectiveness of this method in nanodiamond arrays and hexagonal boron nitride flakes.
Review
Pharmacology & Pharmacy
Ting Zhou, Allie Lee, Amy Cheuk Yin Lo, Jeremy Sze Wai John Kwok
Summary: This article provides an overview of the relationship between corneal nerves and diabetic neuropathy, explores the underlying mechanisms of corneal nerve changes caused by diabetes, and introduces therapeutic methods for delayed corneal wound healing and nerve protection and regeneration.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Biochemical Research Methods
Imane Lboukili, Georgios Stamatas, Xavier Descombes
Summary: Reflectance confocal microscopy (RCM) allows for real-time visualization of the skin structure at the cellular level. In this study, an automated pipeline based on membrane detection was designed to identify and analyze epidermal cells in RCM images. The proposed method achieved higher accuracy compared to machine learning-based approaches.
JOURNAL OF BIOMEDICAL OPTICS
(2023)
Article
Engineering, Electrical & Electronic
Yiqing Ye, Dingrong Yi, Zhiqun Liu, Wei Jiang, Yile Liu
Summary: A novel chromatic differential confocal matrix (CDCM) sensor is proposed for accurate 3D profiling without mechanical scanning. The CDCM utilizes the intensity difference between spectral confocal images for surface height detection, resulting in higher axial sensitivity and profiling efficiency compared to conventional methods. Axial scanning is achieved using residual chromatic aberration and the difference intensity signal between two spectral confocal images. Experimental results show that the CDCM achieves a sub-micrometer axial accuracy and a measurement range of 28 micrometers with a lateral resolution of 0.87 micrometers using a 10xNA 0.25 objective.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2023)
Article
Biology
Raidel Herrera-Pereda, Alberto Taboada Crispi, Danilo Babin, Wilfried Philips
Summary: A novel algorithm for segmenting cells of the cornea endothelium layer on confocal microscope images is proposed, achieving higher accuracy compared to existing segmentation methods. The algorithm includes steps such as applying a difference of Gaussian filter, automatic thresholding, and fitting inscribed circles into cell regions for final segmentation. Parameters of interest are computed and compared against existing methods, showing good agreement with state of the art techniques.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Engineering, Biomedical
Miguel Arriaga, Daniel N. Arteaga, Dimitrios Fafalis, Michelle Yu, Xun Wang, Karen E. Kasza, Anil K. Lalwani, Jeffrey W. Kysar
Summary: The Round Window Membrane (RWM) is the only non-osseous barrier between the middle and inner ear spaces, making it an ideal portal for medical access to the cochlea. Understanding the structure and mechanical response of the RWM is crucial for optimizing the design of surgical tools. Confocal and 2-photon microscopy can be used to measure RWM geometry and connective fiber orientation and dispersion.
ACTA BIOMATERIALIA
(2021)
Article
Ophthalmology
Ipek cigdem Ucar, Fehim Esen, Semra Akkaya Turhan, Halit Oguz, Hak Celal Ulasoglu, Veysel Aykut
Summary: Patients with irritable bowel syndrome (IBS) exhibit increased dry eye-associated ocular symptoms and nerve fiber loss in the corneal subbasal nerve plexus. IBS should be considered in the differential diagnosis when there is discrepancy between ocular discomfort levels and dry eye-associated corneal findings.
GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Josue Page Vizcaino, Federico Saltarin, Yury Belyaev, Ruth Lyck, Tobias Lasser, Paolo Favaro
Summary: A novel deep learning approach, LFMNet, is introduced for reconstructing confocal microscopy stacks from single light field images rapidly and accurately, enabling imaging of highly dynamic and light-sensitive events, as well as in closed-loop systems where reducing latency is crucial.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2021)
Article
Engineering, Biomedical
Miroslawa Sikorska, Andrzej Skalski, Marek Wodzinski, Alexander Witkowski, Giovanni Pellacani, Joanna Ludzik
Summary: This study proposes a local quality assessment system using artificial neural networks to detect artifacts in RCM images, achieving high precision in classification. It shows which types of skin lesions most commonly present with artifacts in their RCM images.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Y. Lingelbach, T. Waldenmaier, L. Hagymasi, R. Mikut, V Schulze
Summary: This study explains the variance in core hardness of 18CrNi8 nozzle bodies after industrial heat treatment by aggregating data from various sources over five years. Traditional physical models and data-driven machine learning models are compared, with the latter showing no advantage due to low variability in the data. Visible drifts in hardness are best tracked by an alternative model that uses past measurements rather than by the other methods. Additionally, machine learning on features from heat treatment is not successful in predicting hardness change, possibly due to the stability of the process. Measurement error in HV 1 also contributes significantly to the variance.
MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK
(2022)
Article
Energy & Fuels
Kaleb Phipps, Sebastian Lerch, Maria Andersson, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
Summary: This paper examines multiple strategies for applying ensemble post-processing to probabilistic wind power forecasts and finds that post-processing the final wind power ensemble improves forecast performance, while only post-processing the weather ensembles does not necessarily lead to increased forecast performance.
Article
Clinical Neurology
Farrokh Manzouri, Marc Zoellin, Simon Schillinger, Matthias Duempelmann, Ralf Mikut, Peter Woias, Laura Maria Comella, Andreas Schulze-Bonhage
Summary: This study proposes three patient-specific, energy-efficient seizure detectors and validates their applicability and energy consumption. The results show that seizure detection can be achieved using a few channels with limited spatial distribution, which has implications for designing new models for responsive neurostimulation.
FRONTIERS IN NEUROLOGY
(2022)
Article
Engineering, Manufacturing
Elisabeth Birgit Schwarz, Fabian Bleier, Friedhelm Guenter, Ralf Mikut, Jean Pierre Bergmann
Summary: This study explores the possibility of improving process monitoring in ultrasonic metal welding (USMW) by investigating the relationships between process curves and the tensile shear strength (TSS) of Cu-sheet welds. By extracting features from the process curves and using linear regression and multi-layer perceptron regression models for prediction, a prediction improvement of nearly 50% is achieved.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Robotics
Yanke Wang, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
Summary: The high-throughput screening of zebrafish larvae's touch response is crucial for drug development. In this study, a multi-larvae experimentation platform was introduced for automated data acquisition. The platform's multi-larvae touching strategy significantly improved the efficiency of data collection. This platform facilitates high-throughput drug screening at the organism level.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Computer Science, Artificial Intelligence
Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Suess, Ralf Mikut, Veit Hagenmeyer
Summary: This paper presents a novel approach for controlling non-stationarity and periodicities in generated time series by using calendar and statistical information. The evaluation of the proposed approach shows that it can generate time series with controlled periodicities and non-stationarity, and outperforms existing benchmarks.
APPLIED INTELLIGENCE
(2023)
Review
Computer Science, Artificial Intelligence
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Raetz, Dirk Mueller, Veit Hagenmeyer, Ralf Mikut
Summary: Time series forecasting is crucial for various domains. Automating the design process can handle the increasing demand for time series forecasts. Current research focuses on only a few parts of the five-section pipeline, and future studies need to consider the automation of the entire forecasting pipeline.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2022)
Article
Biochemical Research Methods
Martin Maska, Vladimir Ulman, Pablo Delgado-Rodriguez, Estibaliz Gomez-de-Mariscal, Tereza Necasova, Fidel A. Guerrero Pena, Tsang Ing Ren, Elliot M. Meyerowitz, Tim Scherr, Katharina Loeffler, Ralf Mikut, Tianqi Guo, Yin Wang, Jan P. Allebach, Rina Bao, Noor M. Al-Shakarji, Gani Rahmon, Imad Eddine Toubal, Kannappan Palaniappan, Filip Lux, Petr Matula, Ko Sugawara, Klas E. G. Magnusson, Layton Aho, Andrew R. Cohen, Assaf Arbelle, Tal Ben-Haim, Tammy Riklin Raviv, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein, Yanming Zhu, Cristina Ederra, Ainhoa Urbiola, Erik Meijering, Alexandre Cunha, Arrate Munoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano
Summary: The Cell Tracking Challenge is a benchmarking initiative that has made significant improvements since 2017, including the creation of a new segmentation-only benchmark and the addition of diverse and complex datasets to the repository. A silver standard reference corpus has been created based on competitive results, which will benefit data-hungry deep learning-based strategies. This updated analysis provides practical conclusions for developers and users of cell segmentation and tracking algorithms, highlighting the advancements in both 2D and 3D algorithms.
Article
Metallurgy & Metallurgical Engineering
Elisabeth Birgit Schwarz, Fabian Bleier, Friedhelm Guenter, Ralf Mikut, Jean Pierre Bergmann
Summary: Ultrasonic metal welding is an attractive joining technology with high energy efficiency and solid-state joint formation. This study compares the suitability of contactless temperature measurements and vibration measurements for process monitoring of copper sheet welding. The results show that quality predictions based on temperatures are superior to those based on welding energy, and predictions based on both temperature and vibration measurements are even better. Therefore, combining temperature and vibration measurements is a good starting point for future industrial monitoring of ultrasonic metal welding processes.
WELDING IN THE WORLD
(2023)
Article
Oncology
Nadine Stache, Sebastian Bohn, Karsten Sperlich, Christian George, Karsten Winter, Friederike Schaub, Ha-Vy Do, Martin Roehlig, Klaus-Martin Reichert, Stephan Allgeier, Oliver Stachs, Angrit Stachs, Katharina A. Sterenczak
Summary: Chemotherapy-induced peripheral neuropathy (CIPN) is a common severe neurotoxic side effect of breast cancer therapy. This study utilized advanced non-invasive biophotonic imaging to investigate the correlation between ocular changes and CIPN signs in paclitaxel-treated breast cancer patients. The results demonstrated that patients' scores significantly changed during treatment and retinal thickenings could be detected, suggesting ocular structures as potential biomarkers for assessing the severity of neurotoxic events.
Article
Mathematics, Interdisciplinary Applications
Thorbjorn Lund Onsaker, Heidi S. Nygard, Damia Gomila, Pere Colet, Ralf Mikut, Richard Jumar, Heiko Maass, Uwe Kuehnapfel, Veit Hagenmeyer, Benjamin Schaefer
Summary: Modelling, forecasting, and understanding the dynamics of the power grid and its frequency are crucial for ensuring the safe operation of power grids. This study focuses on European islands and compares their frequency prediction to the Nordic power system as a reference. The Balearic Islands are found to be more predictable, while Iceland is harder to predict. Additionally, it is shown that 2-4 weeks of data are needed for improved prediction performance.
JOURNAL OF PHYSICS-COMPLEXITY
(2023)
Article
Pharmacology & Pharmacy
Kai Hilpert, Christoph Rumancev, Jurnorain Gani, Dominic W. P. Collis, Paula Matilde Lopez-Perez, Vasil M. Garamus, Ralf Mikut, Axel Rosenhahn
Summary: Candida albicans is a common cause of candidiasis, and the development of resistance to antifungal drugs is a concern. A new method using BioSAXS was used to investigate the effects of antifungal compounds on the ultrastructure of C. albicans. The results suggest that certain antifungal peptides may have different modes of action.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Sahana Sheshachala, Birgit Huber, Jan Schuetzke, Ralf Mikut, Tim Scharnweber, Carmen M. Dominguez, Hatice Mutlu, Christof M. Niemeyer
Summary: Microfluidic droplets are used to study and mimic biological systems. In this study, a new charged fluorosurfactant was synthesized to assemble DNA-modified silica nanoparticles at the interface of microfluidic droplets.
NANOSCALE ADVANCES
(2023)
Article
Multidisciplinary Sciences
Vojtech Kumpost, Lennart Hilbert, Ralf Mikut
Summary: Biological oscillators are affected by stochastic fluctuations and changing environmental conditions. In populations of uncoupled oscillators, noise can enable population-level entrainment for a wider range of input amplitudes and periods. This study found that increasing noise intensity in a population of a sufficient number of oscillators results in faster entrainment after a phase change of the input signal and increased sensitivity to low-amplitude input signals.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
Summary: Transforming the energy system to decentralised, renewable energy sources requires measures to balance their fluctuating nature and stabilise the energy system. One such measure is a dispatchable feeder, which combines inflexible prosumption with a flexible energy storage system. However, the accuracy of energy time series forecasts has a complex impact on the performance of the dispatchable feeder, thus requiring analysis of the forecast value.
E-ENERGY '23 COMPANION-PROCEEDINGS OF THE 2023 THE 14TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS
(2023)
