Three-dimensional imaging articles within Nature Communications

Featured

• Article
  15 July 2022 | Open Access

  The Medical Segmentation Decathlon

  International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Here, the authors present the results of a biomedical image segmentation challenge, showing that a method capable of performing well on multiple tasks will generalize well to a previously unseen task.

  • Michela Antonelli
  • , Annika Reinke
  •  & M. Jorge Cardoso

• Article
  19 April 2022 | Open Access

  A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

  Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT images is an essential step in digital dentistry for precision dental healthcare. Here, the authors present a deep learning system for efficient, precise, and fully automatic segmentation of real-patient CBCT images presenting highly variable appearances.

  • Zhiming Cui
  • , Yu Fang
  •  & Dinggang Shen

• Article
  25 March 2021 | Open Access

  Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

  Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional abnormality labels from free-text radiology reports.

  • Sabri Eyuboglu
  • , Geoffrey Angus
  •  & Matthew P. Lungren

• Article
  09 October 2020 | Open Access

  Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

  In some contexts, rapid detection of COVID-19 from CT scans can be crucial for optimal patient management. Here, the authors present a Deep Learning system for this task with multi-center data, human reader comparison and age stratified results.

  • Cheng Jin
  • , Weixiang Chen
  •  & Jianjiang Feng

• Article
  19 July 2016 | Open Access

  Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo

  Two-photon laser scanning microscopy allows functional calcium imaging of large neuronal populations in vivo, but the recorded signals typically suffer from low signal to noise. Here the authors develop an algorithm, MLspike, which estimates action potentials from noisy calcium signals, and benchmark it against existing methods.

  • Thomas Deneux
  • , Attila Kaszas
  •  & Ivo Vanzetta

• Article
  07 April 2016 | Open Access

  4D Visualization of replication foci in mammalian cells corresponding to individual replicons

  Whether replication happens at individual replicons or in replication factories is a controversial debate. Here the authors use super-resolution microscopy and analysis of replication fork speed to present evidence in favour of replicons.

  • V. O. Chagin
  • , C. S. Casas-Delucchi
  •  & M. C. Cardoso

• Article
  08 July 2015 | Open Access

  Stereomicroscopic 3D-pattern profiling of murine and human intestinal inflammation reveals unique structural phenotypes

  The gut epithelium is damaged in inflammatory bowel disease, but capturing such lesions by histology can be difficult. Here, the authors use stereomicroscopy to visualize different 3D inflammatory structures and associated microbes in humans and in 16 genetic mouse models relevant to intestinal inflammation.

  • Alex Rodriguez-Palacios
  • , Tomohiro Kodani
  •  & Fabio Cominelli

• Article
  11 July 2014 | Open Access

  Virtual finger boosts three-dimensional imaging and microsurgery as well as terabyte volume image visualization and analysis

  Large three-dimensional images are commonly generated through biological experimentation. Here the authors report software tools for exploration of three-dimensional images along with applications to assist in imaging, microsurgery, visualization and annotation of large image data sets.

  • Hanchuan Peng
  • , Jianyong Tang
  •  & Fuhui Long