Academic Research
Deep learning pipeline predicting developmental viability from time-lapse video analysis.
Computer Vision Research · Life Sciences Academic
Temporal deep learning for predicting bovine embryo survival at 192h post-fertilization.
Stack
PyTorchCNNLSTMResNetTransfer Learning
Context
Predicting developmental state of bovine embryos at 192 hours post-fertilization using time-lapse video analysis with temporal deep learning.
Highlights
- ●Frame extraction at specific developmental time points
- ●ResNet + LSTM temporal modeling pipeline
- ●Transfer learning from ImageNet to microscopy domain
How Frema Labs applies this for you
Need predictions from video or time-lapse imagery? We build temporal pipelines that read change over time, not just single frames.
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