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11 Results Found

  • Article
  • Open Access
375 Views
17 Pages

Reproducible Semi-Automated Quantification of Vascularization in Bone Sections Using CD31 Immunohistochemistry and Trainable Weka Segmentation

  • Nick Mattern,
  • Holger Freischmidt,
  • Matthias Schulte,
  • Alma Aubert and ,
  • Sanja Kalmus,
  • Jan Makogon,
  • Paul Alfred Grützner,
  • Jonas Armbruster and
  • Felix Lamadé-Dootz
  • + 4 authors+ 0 author

1 September 2026

Quantitative assessment of vascularization is important in bone regeneration research, but CD31-immunohistochemically stained sections are often evaluated manually or semi-quantitatively, limiting reproducibility and comparability. The aim of this st...

(This article belongs to the Section Medical Imaging)
  • Article
  • Open Access
23 Citations
7,325 Views
11 Pages

9 March 2022

The size distribution of droplets in emulsions is very important for adjusting the effects of many indices on their quality. In addition to other methods for the determination of the size distribution of droplets, the usage of machine learning during...

(This article belongs to the Special Issue Current Perspective on the Study of Liquid-Fluid Interfaces: From Fundamentals to Innovative Applications)
  • Article
  • Open Access
1 Citations
4,832 Views
16 Pages

Performance Comparison of Five Methods Available in ImageJ for Bird Counting and Detection from Video Datasets

  • Kevin Adi Kurnia,
  • Ferry Saputra,
  • Cao Thang Luong,
  • Marri Jmelou M. Roldan and ,
  • Tai-Sheng Cheng and
  • Chung-Der Hsiao
  • + 1 author+ 0 author

Bird monitoring is an important approach to studying the diversity and abundance of birds, especially during migration, as it can provide core data for bird conservation purposes. The previous methods for bird number estimation are largely based on m...

(This article belongs to the Section Inventions and Innovation in Design, Modeling and Computing Methods)
  • Article
  • Open Access
8 Citations
4,126 Views
13 Pages

Performance Comparison of Five Methods for Tetrahymena Number Counting on the ImageJ Platform: Assessing the Built-in Tool and Machine-Learning-Based Extension

  • Kevin Adi Kurnia,
  • Bonifasius Putera Sampurna,
  • Gilbert Audira,
  • Stevhen Juniardi and ,
  • Ross D. Vasquez,
  • Marri Jmelou M. Roldan,
  • Che-Chia Tsao and
  • Chung-Der Hsiao
  • + 3 authors+ 0 author

Previous methods to measure protozoan numbers mostly rely on manual counting, which suffers from high variation and poor efficiency. Although advanced counting devices are available, the specialized and usually expensive machinery precludes their pre...

(This article belongs to the Section Molecular Informatics)
  • Article
  • Open Access
4 Citations
6,462 Views
16 Pages

Cell segmentation is a critical step for image-based experimental analysis. Existing cell segmentation methods are neither entirely automated nor perform well under basic laboratory microscopy. This study proposes an efficient and automated cell segm...

(This article belongs to the Topic Applied System on Biomedical Engineering, Healthcare and Sustainability)
  • Article
  • Open Access
34 Citations
6,216 Views
19 Pages

An Effective Approach for Automatic River Features Extraction Using High-Resolution UAV Imagery

  • Marco La Salandra,
  • Rosa Colacicco,
  • Pierfrancesco Dellino and
  • Domenico Capolongo

18 January 2023

The effects of climate change are causing an increase in the frequency and extent of natural disasters. Because of their morphological characteristics, rivers can cause major flooding events. Indeed, they can be subjected to variations in discharge i...

  • Article
  • Open Access
1 Citations
456 Views
29 Pages

9 July 2026

Non-invasive characterization of painting stratigraphy is challenged by light attenuation in optically heterogeneous opaque materials composing micrometric layers. Optical coherence tomography (OCT) provides suitable, non-invasive, depth-resolved ima...

(This article belongs to the Special Issue Artificial Intelligence Algorithm for Remote Sensing Imagery Processing (5th Edition))
  • Article
  • Open Access
1 Citations
2,288 Views
23 Pages

Automated T-Cell Proliferation in Lab-on-Chip Devices Integrating Microfluidics and Deep Learning-Based Image Analysis for Long-Term Experiments

  • María Fernanda Cadena Vizuete,
  • Martin Condor,
  • Dennis Raith,
  • Avani Sapre and ,
  • Marie Follo,
  • Gina Layedra,
  • Roland Mertelsmann,
  • Maximiliano Perez and
  • Betiana Lerner
  • + 4 authors+ 0 author

13 October 2025

T cells play a pivotal role in cancer research, particularly in immunotherapy, which harnesses the immune system to target malignancies. However, conventional expansion methods face limitations such as high reagent consumption, contamination risks, a...

(This article belongs to the Special Issue Microfluidics and Organ-on-a-Chip for Disease Modeling and Drug Screening (2nd Edition))
  • Article
  • Open Access
2 Citations
3,475 Views
16 Pages

A First Attempt to Combine NIRS and Plenoptic Cameras for the Assessment of Grasslands Functional Diversity and Species Composition

  • Simon Taugourdeau,
  • Mathilde Dionisi,
  • Mylène Lascoste,
  • Matthieu Lesnoff and ,
  • Jean Marie Capron,
  • Fréderic Borne,
  • Philippe Borianne and
  • Lionel Julien
  • + 3 authors+ 0 author

Grassland represents more than half of the agricultural land. Numerous metrics (biomass, functional trait, species composition) can be used to describe grassland vegetation and its multiple functions. The measures of these metrics are generally destr...

(This article belongs to the Topic Remote Sensing and Geoinformatics in Agriculture and Environment)
  • Article
  • Open Access
4 Citations
3,476 Views
13 Pages

Rapid Quantification of Microvessels of Three-Dimensional Blood–Brain Barrier Model Using Optical Coherence Tomography and Deep Learning Algorithm

  • Huiting Zhang,
  • Dong-Hee Kang,
  • Marie Piantino,
  • Daisuke Tominaga and ,
  • Takashi Fujimura,
  • Noriyuki Nakatani,
  • J. Nicholas Taylor,
  • Tomomi Furihata,
  • Michiya Matsusaki and
  • Satoshi Fujita
  • + 5 authors+ 0 author

15 August 2023

The blood–brain barrier (BBB) is a selective barrier that controls the transport between the blood and neural tissue features and maintains brain homeostasis to protect the central nervous system (CNS). In vitro models can be useful to understand the...

(This article belongs to the Section Optical and Photonic Biosensors)
  • Article
  • Open Access
5 Citations
1,751 Views
13 Pages

Inflammation in Cerebral Cavernous Malformations: Differences Between Malformation Related Epilepsy vs. Symptomatic Hemorrhage

  • Jan Rodemerk,
  • Adrian Engel,
  • Julius L. H. Horstmann,
  • Laurèl Rauschenbach and ,
  • Marvin Darkwah Oppong,
  • Alejandro N. Santos,
  • Andreas Junker,
  • Cornelius Deuschl,
  • Michael Forsting and
  • Philipp Dammann
  • + 10 authors+ 5 authors

27 September 2025

Background and Objective: Cerebral cavernous malformation (CCM) is a vascular disorder causing seizures, neurological deficits, and hemorrhagic stroke. It can be sporadic or inherited via CCM1, CCM2, or CCM3 gene mutations. Inflammation is broadly re...

(This article belongs to the Section Cellular Pathology)