Active mesh and neural network pipeline for cell aggregate segmentation
Active mesh and neural network pipeline for cell aggregate segmentation
复制标题
用于细胞聚集体分割的主动网格和神经网络管道
DOI:
10.1101/2023.02.17.528925
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Smith M
中科院分区:
文献类型:
--
作者:
Smith M
Segmenting cells within cellular aggregates in 3D is a growing challenge in cell biology due to improvements in capacity and accuracy of microscopy techniques. Here, we describe a pipeline to segment images of cell aggregates in 3D. The pipeline combines neural network segmentations with active meshes. We apply our segmentation method to cultured mouse mammary gland organoids imaged over 24 h with oblique plane microscopy, a high-throughput light-sheet fluorescence microscopy technique. We show that our method can also be applied to images of mouse embryonic stem cells imaged with a spinning disc microscope. We segment individual cells based on nuclei and cell membrane fluorescent markers, and track cells over time. We describe metrics to quantify the quality of the automated segmentation. Our segmentation pipeline involves a Fiji plugin that implements active mesh deformation and allows a user to create training data, automatically obtain segmentation meshes from original image data or neural network prediction, and manually curate segmentation data to identify and correct mistakes. Our active meshes-based approach facilitates segmentation postprocessing, correction, and integration with neural network prediction.
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DOI:
10.1016/j.cub.2022.03.004
发表时间:
2022-05-09
期刊:
Current biology : CB
影响因子:
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作者:
Hecht S;Perez-Mockus G;Schienstock D;Recasens-Alvarez C;Merino-Aceituno S;Smith M;Salbreux G;Degond P;Vincent JP
通讯作者:
Vincent JP
DOI:
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2007
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作者:
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通讯作者:
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发表时间:
2023
期刊:
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作者:
小笠 竜哉;黒田 陸斗;河田 佳樹;鈴木 秀宣;松元 祐司;土田 敬明;楠本 昌彦;仁木 登
通讯作者:
仁木 登
DOI:
--
发表时间:
2020
期刊:
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作者:
Komazawa Yukitsugu;Murayama Hiroshi;Harata Noboru;Takami Kiyoshi;Parady Giancarlos Troncoso;溝口利英
通讯作者:
溝口利英
DOI:
10.1101/2020.09.24.311613
发表时间:
2020
期刊:
--
影响因子:
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作者:
Sparks H
通讯作者:
Sparks H