@inproceedings{c1390d6bd33f4f97ab81cc31e03376dd,
title = "Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures",
abstract = "Image-based transcriptomics involves determining spatial patterns in gene expression across cells and tissues. Image registration is a necessary component of data analysis pipelines that study gene expression levels across different cells and intracellular structures. We consider images from multiplexed single molecule fluorescent in situ hybridization (smFISH) and multiplexed in situ sequencing (ISS) datasets from the Human Cell Atlas project and demonstrate a novel approach to groupwise image registration using a parametric representation of images based on finite rate of innovation sampling, together with practical optimization of empirical multivariate information measures.",
keywords = "finite rate of innovation, image registration, image-based transcriptomics, multiinformation",
author = "Rebecca Chen and Das, {Abhinav B.} and Varshney, {Lav R.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 53rd Annual Conference on Information Sciences and Systems, CISS 2019 ; Conference date: 20-03-2019 Through 22-03-2019",
year = "2019",
month = apr,
day = "16",
doi = "10.1109/CISS.2019.8692933",
language = "English (US)",
series = "2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019",
address = "United States",
}