已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Isolation and reconstruction of cardiac mitochondria from SBEM images using a deep learning-based method

分割 线粒体 人工智能 模式识别(心理学) 计算机科学 生物 计算机视觉 细胞生物学
作者
Asuka Hatano,Makoto Someya,Hiroaki Tanaka,Hiroki Sakakima,Satoshi Izumi,Masahiko Hoshijima,Mark H. Ellisman,Andrew D. McCulloch
出处
期刊:Journal of Structural Biology [Elsevier BV]
卷期号:214 (1): 107806-107806 被引量:3
标识
DOI:10.1016/j.jsb.2021.107806
摘要

Mitochondrial morphological defects are a common feature of diseased cardiac myocytes. However, quantitative assessment of mitochondrial morphology is limited by the time-consuming manual segmentation of electron micrograph (EM) images. To advance understanding of the relation between morphological defects and dysfunction, an efficient morphological reconstruction method is desired to enable isolation and reconstruction of mitochondria from EM images. We propose a new method for isolating and reconstructing single mitochondria from serial block-face scanning EM (SBEM) images. CDeep3M, a cloud-based deep learning network for EM images, was used to segment mitochondrial interior volumes and boundaries. Post-processing was performed using both the predicted interior volume and exterior boundary to isolate and reconstruct individual mitochondria. Series of SBEM images from two separate cardiac myocytes were processed. The highest F1-score was 95% using 50 training datasets, greater than that for previously reported automated methods and comparable to manual segmentations. Accuracy of separation of individual mitochondria was 80% on a pixel basis. A total of 2315 mitochondria in the two series of SBEM images were evaluated with a mean volume of 0.78 µm3. The volume distribution was very broad and skewed; the most frequent mitochondria were 0.04-0.06 µm3, but mitochondria larger than 2.0 µm3 accounted for more than 10% of the total number. The average short-axis length was 0.47 µm. Primarily longitudinal mitochondria (0-30 degrees) were dominant (54%). This new automated segmentation and separation method can help quantitate mitochondrial morphology and improve understanding of myocyte structure-function relationships.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
养乐多敬你完成签到 ,获得积分10
4秒前
缓慢新梅完成签到,获得积分10
8秒前
万能图书馆应助缓慢新梅采纳,获得10
13秒前
16秒前
WillGUO发布了新的文献求助10
20秒前
科研通AI2S应助稳重筝采纳,获得10
26秒前
bkagyin应助zhangzhi采纳,获得10
28秒前
28秒前
梦醒了完成签到 ,获得积分10
32秒前
33秒前
西吴完成签到 ,获得积分10
33秒前
李爱国应助Guesss采纳,获得10
35秒前
35秒前
小呵点完成签到 ,获得积分10
37秒前
打打应助周多多采纳,获得10
37秒前
芯之痕发布了新的文献求助10
40秒前
leigod完成签到 ,获得积分10
41秒前
心系天下完成签到 ,获得积分10
42秒前
量子星尘发布了新的文献求助10
44秒前
zhoutiantian完成签到 ,获得积分10
45秒前
埃特纳氏完成签到 ,获得积分10
47秒前
冉冉爱吃西瓜完成签到,获得积分10
48秒前
在水一方应助nature采纳,获得10
50秒前
神勇语堂完成签到 ,获得积分10
53秒前
54秒前
酷波er应助aa采纳,获得10
55秒前
李健应助薄红采纳,获得10
56秒前
明水完成签到,获得积分10
59秒前
彩色的紫丝完成签到 ,获得积分10
1分钟前
筱筱完成签到 ,获得积分10
1分钟前
沉默寻凝完成签到,获得积分10
1分钟前
1分钟前
apocalypse完成签到 ,获得积分10
1分钟前
周多多发布了新的文献求助10
1分钟前
风趣的芝麻完成签到 ,获得积分10
1分钟前
芯之痕发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
qzw完成签到,获得积分10
1分钟前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3976600
求助须知:如何正确求助?哪些是违规求助? 3520674
关于积分的说明 11204470
捐赠科研通 3257316
什么是DOI,文献DOI怎么找? 1798683
邀请新用户注册赠送积分活动 877861
科研通“疑难数据库(出版商)”最低求助积分说明 806595