Nucleus segmentation: towards automated solutions
Single nucleus segmentation is a frequent challenge of microscopy image processing, since
it is the first step of many quantitative data analysis pipelines. The quality of tracking single …
it is the first step of many quantitative data analysis pipelines. The quality of tracking single …
Deep learning for bioimage analysis in developmental biology
Deep learning has transformed the way large and complex image datasets can be
processed, reshaping what is possible in bioimage analysis. As the complexity and size of …
processed, reshaping what is possible in bioimage analysis. As the complexity and size of …
Nucmm dataset: 3d neuronal nuclei instance segmentation at sub-cubic millimeter scale
Segmenting 3D cell nuclei from microscopy image volumes is critical for biological and
clinical analysis, enabling the study of cellular expression patterns and cell lineages …
clinical analysis, enabling the study of cellular expression patterns and cell lineages …
Agarose microgel culture delineates lumenogenesis in naive and primed human pluripotent stem cells
Human periimplantation development requires the transformation of the naive pluripotent
epiblast into a polarized epithelium. Lumenogenesis plays a critical role in this process, as …
epiblast into a polarized epithelium. Lumenogenesis plays a critical role in this process, as …
Segmentor: a tool for manual refinement of 3D microscopy annotations
D Borland, CM McCormick, NK Patel, O Krupa… - BMC …, 2021 - Springer
Background Recent advances in tissue clearing techniques, combined with high-speed
image acquisition through light sheet microscopy, enable rapid three-dimensional (3D) …
image acquisition through light sheet microscopy, enable rapid three-dimensional (3D) …
Seg2Link: an efficient and versatile solution for semi-automatic cell segmentation in 3D image stacks
C Wen, M Matsumoto, M Sawada, K Sawamoto… - Scientific Reports, 2023 - nature.com
Recent advances in microscopy techniques, especially in electron microscopy, are
transforming biomedical studies by acquiring large quantities of high-precision 3D cell …
transforming biomedical studies by acquiring large quantities of high-precision 3D cell …
NIS3D: a completely annotated benchmark for dense 3D nuclei image segmentation
Abstract 3D segmentation of nuclei images is a fundamental task for many biological
studies. Despite the rapid advances of large-volume 3D imaging acquisition methods and …
studies. Despite the rapid advances of large-volume 3D imaging acquisition methods and …
A reusable neural network pipeline for unidirectional fiber segmentation
A Fioravante de Siqueira, DM Ushizima… - Scientific data, 2022 - nature.com
Fiber-reinforced ceramic-matrix composites are advanced, temperature resistant materials
with applications in aerospace engineering. Their analysis involves the detection and …
with applications in aerospace engineering. Their analysis involves the detection and …
[HTML][HTML] ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging
M Molina-Moreno, I González-Díaz, J Sicilia… - Medical Image …, 2022 - Elsevier
Cell detection and tracking applied to in vivo fluorescence microscopy has become an
essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at …
essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at …
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos
In assisted reproductive technology (ART), embryos produced by in vitro fertilization (IVF)
are graded according to their live birth potential, and high-grade embryos are preferentially …
are graded according to their live birth potential, and high-grade embryos are preferentially …