@inproceedings{23b758d39e5543f2b76f40a2a6713ea9,
title = "Sparse recovery of imaging transcriptomics data",
abstract = "Imaging transcriptomics (IT) techniques enable characterization of gene expression in cells in their native context by imaging barcoded mRNA probes with single molecule resolution. However, the need to acquire many rounds of high-magnification imaging data limits the throughput and impact of existing methods. We propose an algorithm for decoding lower magnification IT data than that used in standard experimental workflows. Our approach, Joint Sparse method for Imaging Transcriptomics (JSIT), incorporates codebook knowledge and sparsity assumptions into an optimization problem. Using simulated low-magnification data, we demonstrate that JSIT enables improved throughput and recovery performance over standard decoding methods.",
keywords = "Compressed Sensing, Fluorescence Microscopy, Imaging Transcriptomics",
author = "Bryan, {John P.} and Brian Cleary and Farhi, {Samouil L.} and Eldar, {Yonina C.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021 ; Conference date: 13-04-2021 Through 16-04-2021",
year = "2021",
month = apr,
day = "13",
doi = "10.1109/ISBI48211.2021.9433927",
language = "الإنجليزيّة",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "802--806",
booktitle = "2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021",
}