Using positional information to provide context for biological image analysis with MorphoGraphX 2.0

S Strauss, A Runions, B Lane, D Eschweiler, N Bajpai… - Elife, 2022 - elifesciences.org
Positional information is a central concept in developmental biology. In developing organs,
positional information can be idealized as a local coordinate system that arises from …

Enabling neighbour labelling: using synthetic biology to explore how cells influence their neighbours

M Malaguti, T Lebek, G Blin, S Lowell - Development, 2024 - journals.biologists.com
Cell-cell interactions are central to development, but exploring how a change in any given
cell relates to changes in the neighbour of that cell can be technically challenging. Here, we …

Decomposition–estimation–reconstruction: An automatic and accurate neuron extraction paradigm

P Zhuang, J Li, Q Li, L Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The extraction of spatiotemporal neuron activity from calcium imaging videos plays a crucial
role in unraveling the coding properties of neurons. While existing neuron extraction …

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets

D Eschweiler, R Yilmaz, M Baumann… - PLOS Computational …, 2024 - journals.plos.org
Recent advances in computer vision have led to significant progress in the generation of
realistic image data, with denoising diffusion probabilistic models proving to be a particularly …

Automatic 3D cell segmentation of fruit parenchyma tissue from X-ray micro CT images using deep learning

L Van Doorselaer, P Verboven, B Nicolai - Plant Methods, 2024 - Springer
Background High quality 3D information of the microscopic plant tissue morphology—the
spatial organization of cells and intercellular spaces in tissues—helps in understanding …

3D fluorescence microscopy data synthesis for segmentation and benchmarking

D Eschweiler, M Rethwisch, M Jarchow, S Koppers… - Plos one, 2021 - journals.plos.org
Automated image processing approaches are indispensable for many biomedical
experiments and help to cope with the increasing amount of microscopy image data in a fast …

A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations

H Malik, AS Idris, SF Toha, IM Idris, MF Daud… - PeerJ Computer …, 2023 - peerj.com
Cell culture is undeniably important for multiple scientific applications, including
pharmaceuticals, transplants, and cosmetics. However, cell culture involves multiple manual …

Automated segmentation and recognition of C. elegans whole-body cells

Y Li, C Lai, M Wang, J Wu, Y Li, H Peng, L Qu - Bioinformatics, 2024 - academic.oup.com
Motivation Accurate segmentation and recognition of C. elegans cells are critical for various
biological studies, including gene expression, cell lineages, and cell fates analysis at single …

Digitalized organoids: integrated pipeline for 3D high-speed analysis of organoid structures using multilevel segmentation and cellular topology

HT Ong, E Karatas, G Grenci, F Dilasser… - bioRxiv, 2023 - biorxiv.org
Analysing the tissue morphogenesis and function is crucial for unravelling the underlying
mechanisms of tissue development and disease. Organoids, 3D in vitro models that mimic …

An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries

M Lesage, M Thomas, T Pécot, TK Ly… - …, 2023 - journals.biologists.com
Computational analysis of bio-images by deep learning (DL) algorithms has made
exceptional progress in recent years and has become much more accessible to non …