Author

Lotte Pollaris

Ghent UniversityORCID 0000-0002-9509-9386Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:spatial transcriptomics· 3 Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

Yvan SaeysiD· 3 shared Benjamin RombautiD· 2 shared Hilde NelisseniD· 2 shared Anna BujkoiD· 1 shared Arne DefauwiD· 1 shared Bavo VannesteiD· 1 shared Charlotte L. ScottiD· 1 shared Christian KorfhageiD· 1 shared

Activity by Year

2024-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Yvan SaeysORCID

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3 papers

Recent·Most cited

SPArrOW: a flexible, interactive and scalable pipeline for spatial transcriptomics analysis

Lotte Pollaris, Bavo Vanneste, Benjamin Rombaut, Arne Defauw, Frank Vernaillen, Julien Mortier, Wout Vanhenden, Liesbet Martens, Tinne Thoné, Jean‐François Hastir, Anna Bujko, Wouter Saelens, Jean‐Christophe Marine, Hilde Nelissen, Evelien Van Hamme, , Yvan Saeys

SPArrOW is a pipeline for spatial transcriptomics analysis that improves data quality, provides visual quality checks, and enables interactive exploration and optimization of processing parameters.

bioRxiv · Jul 4, 2024 · PreprintBioinformatics

Transit amplifying cells balance growth and differentiation in above-ground meristems

Jessica Joossens, Denia Herwegh, Reinout Laureyns, Julie Pevernagie, Tom Van Hautegem, Lotte Pollaris, Samik Bhattacharya, Christian Korfhage, Thomas Depuydt, Kirin Demuynck, Klaas Vandepoele, Yvan Saeys, Clinton Whipple, Josh Strable, Hilde Nelissen

The paper identifies transit amplifying cells in maize meristems using spatial transcriptomics and shows their growth and differentiation are independently controlled.

bioRxiv · May 4, 2024 · PreprintPlant Biology

SpatialData: an open and universal data framework for spatial omics

Luca Marconato, Giovanni Palla, Kevin A. Yamauchi, Isaac Virshup, Elyas Heidari, Tim Treis, Wouter-Michiel Vierdag, Marcella Toth, Sonja Stockhaus, Rahul Shrestha, Benjamin Rombaut, Lotte Pollaris, Laurens Lehner, Harald S. Vöhringer, Ilia Kats, , Oliver Stegle

SpatialData, a Zarr/OME-NGFF-based format plus Python library, unifies images, labels, points, shapes and tables across spatial omics platforms with coordinate alignment, lazy loading and cross-modal aggregation.

Nature Methods · Mar 20, 2024Peer-reviewedBioinformatics✦ In-depth digest