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Spatial protein analysis in developing tissues: a sampling-based image processing approach

Karolis Leonavicius, Christophe Royer, Antonio Miranda, Richard Tyser, Anne-Marie Kip, View ORCID ProfileShankar Srinivas
doi: https://doi.org/10.1101/163147
Karolis Leonavicius
Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
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Christophe Royer
Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
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Antonio Miranda
Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
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Richard Tyser
Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
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Anne-Marie Kip
Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
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Shankar Srinivas
Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
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  • ORCID record for Shankar Srinivas
  • For correspondence: shankar.srinivas@dpag.ox.ac.uk
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Article Information

doi 
https://doi.org/10.1101/163147
History 
  • August 9, 2017.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Karolis Leonavicius,
  2. Christophe Royer,
  3. Antonio Miranda,
  4. Richard Tyser,
  5. Anne-Marie Kip and
  6. Shankar Srinivas*
  1. Department of Physiology Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK
  1. ↵*corresponding author: shankar.srinivas{at}dpag.ox.ac.uk
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Posted August 09, 2017.
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Spatial protein analysis in developing tissues: a sampling-based image processing approach
Karolis Leonavicius, Christophe Royer, Antonio Miranda, Richard Tyser, Anne-Marie Kip, Shankar Srinivas
bioRxiv 163147; doi: https://doi.org/10.1101/163147
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Spatial protein analysis in developing tissues: a sampling-based image processing approach
Karolis Leonavicius, Christophe Royer, Antonio Miranda, Richard Tyser, Anne-Marie Kip, Shankar Srinivas
bioRxiv 163147; doi: https://doi.org/10.1101/163147

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