Stain-free detection of embryo polarization using deep learning.
Stain-free detection of embryo polarization using deep learning.
复制标题
DOI：
10.1038/s41598-022-05990-6
复制
发表时间：
2022-02-14
影响因子：
4.6
通讯作者：
Yang C
中科院分区：
文献类型：
--
作者：
Shen C;Lamba A;Zhu M;Zhang R;Zernicka-Goetz M;Yang C
哺乳动物胚胎在正确的发育时间的极化对于其发育到足月至关重要，并且在评估人类胚胎的潜力方面具有价值。然而，跟踪偏振需要侵入性荧光染色，这在体外受精临床中是不允许的。在这里，我们报告了使用人工智能来检测来自小鼠胚胎的未染色延时电影的偏振。我们收集了一个来自8细胞期胚胎的明视野电影帧数据集，并与细胞极化的荧光标记物的相应图像并排。然后，我们使用集成学习模型来检测任何亮场帧是否在极化开始之前或之后显示胚胎。我们得到的模型在检测偏振方面的准确率为85%，明显优于在相同数据上训练的人类志愿者（61%的准确率）。我们发现，我们的自我学习模型专注于细胞之间的角度，作为一个已知的压实线索，它先于极化，但它优于单独使用这个线索。通过将三维时间推移图像数据压缩为二维，我们能够将数据减少到易于管理的大小，以进行深度学习处理。总之，我们描述了一种用于检测胚胎发育的关键发育特征的方法，该方法避免了临床上不允许的荧光染色。
Polarization of the mammalian embryo at the right developmental time is critical for its development to term and would be valuable in assessing the potential of human embryos. However, tracking polarization requires invasive fluorescence staining, impermissible in the in vitro fertilization clinic. Here, we report the use of artificial intelligence to detect polarization from unstained time-lapse movies of mouse embryos. We assembled a dataset of bright-field movie frames from 8-cell-stage embryos, side-by-side with corresponding images of fluorescent markers of cell polarization. We then used an ensemble learning model to detect whether any bright-field frame showed an embryo before or after onset of polarization. Our resulting model has an accuracy of 85% for detecting polarization, significantly outperforming human volunteers trained on the same data (61% accuracy). We discovered that our self-learning model focuses upon the angle between cells as one known cue for compaction, which precedes polarization, but it outperforms the use of this cue alone. By compressing three-dimensional time-lapsed image data into two-dimensions, we are able to reduce data to an easily manageable size for deep learning processing. In conclusion, we describe a method for detecting a key developmental feature of embryo development that avoids clinically impermissible fluorescence staining.
登录
查看更多内容
影响因子：
4.6
作者：
Anani, Shihadeh;Bhat, Shivani;Yamanaka, Yojiro
通讯作者：
Yamanaka, Yojiro
影响因子：
2.7
作者：
Louvet, S;Aghion, J;Maro, B
通讯作者：
Maro, B
影响因子：
3.6
作者：
Alarcon, Vernadeth B.
通讯作者：
Alarcon, Vernadeth B.
影响因子：
11.8
作者：
Korotkevich E;Niwayama R;Courtois A;Friese S;Berger N;Buchholz F;Hiiragi T
通讯作者：
Hiiragi T
影响因子：
6.1
作者：
Tran, D.;Cooke, S.;Gardner, D. K.
通讯作者：
Gardner, D. K.