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 …

Nuclear instance segmentation and tracking for preimplantation mouse embryos

H Nunley, B Shao, D Denberg, P Grover… - …, 2024 - journals.biologists.com
For investigations into fate specification and morphogenesis in time-lapse images of
preimplantation embryos, automated 3D instance segmentation and tracking of nuclei are …

[HTML][HTML] A novel ground truth dataset enables robust 3D nuclear instance segmentation in early mouse embryos

H Nunley, B Shao, P Grover, J Singh, B Joyce… - bioRxiv, 2023 - ncbi.nlm.nih.gov
For investigations into fate specification and cell rearrangements in live images of
preimplantation embryos, automated and accurate 3D instance segmentation of nuclei is …

A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks

AF de Siqueira, DM Ushizima… - arXiv preprint arXiv …, 2021 - arxiv.org
Fiber-reinforced ceramic-matrix composites are advanced materials resistant to high
temperatures, with application to aerospace engineering. Their analysis depends on the …

A Primer on Deep Learning-Based Cellular Image Classification of Changes in the Spatial Distribution of the Golgi Apparatus After Experimental Manipulation

D Takao, YM Kyunai, Y Okada, A Satoh - Golgi: Methods and Protocols, 2022 - Springer
The visual classification of cell images according to differences in the spatial patterns of
subcellular structure is an important methodology in cell and developmental biology …