[HTML][HTML] A multi-encoder variational autoencoder controls multiple transformational features in single-cell image analysis
Image-based cell phenotyping relies on quantitative measurements as encoded
representations of cells; however, defining suitable representations that capture complex …
representations of cells; however, defining suitable representations that capture complex …
Me-vae: Multi-encoder variational autoencoder for controlling multiple transformational features in single cell image analysis
Image-based cell phenotyping relies on quantitative measurements as encoded
representations of cells; however, defining suitable representations that capture complex …
representations of cells; however, defining suitable representations that capture complex …
Generative Image Sequence Modeling of Optical Imaging Data
KL Heck - 2023 - tuprints.ulb.tu-darmstadt.de
This thesis focuses on the development of a data processing pipeline for inferring neural
activity observed in cat's primary visual cortex. These activity patterns were measured in a …
activity observed in cat's primary visual cortex. These activity patterns were measured in a …
[PDF][PDF] Simulation of biomaterials research experiments with generative models
S Veretennikov - research.tue.nl
Studying the behavior of living cells in response to the topography of a material's surface is a
significant part of biomaterials research. High-throughput screening experiments, in which …
significant part of biomaterials research. High-throughput screening experiments, in which …
[PDF][PDF] ME-VAE: Multi-Encoder Variational AutoEncoder for Controlling Multiple
Image-based cell phenotyping relies on quantitative measurements as encoded
representations of cells; however, defining suitable representations that capture complex …
representations of cells; however, defining suitable representations that capture complex …