Ghent University Academic Bibliography

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Single-cell optical nanomotion of Candida albicans in microwells for rapid antifungal susceptibility testing

Vjera Radoničić (UGent) , Charlotte Yvanoff, Maria Ines Villalba, Bart Devreese (UGent) , Sandor Kasas and Ronnie G. Willaert

(2023) FERMENTATION-BASEL. 9(4).
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Agricultural wastes for brine shrimp Artemia production : a review

Nepheronia Jumalon Ogburn, Luchun Duan, Suresh Ramraj Subashchandrabose, Patrick Sorgeloos (UGent) , Wayne O'Connor, Mallavarapu Megharaj and Ravi Naidu

(2023) REVIEWS IN AQUACULTURE. 15(3). p.1159-1178
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Single cell RNA-sequencing in Arabidopsis root tissues

Yuji Ke (UGent) , Max Minne (UGent) , Thomas Eekhout (UGent) and Bert De Rybel (UGent)

(2023) Plant gene regulatory networks : methods and protocols. In Methods in Molecular Biology 2698. p.41-56
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Computational analysis of microbial flow cytometry data

Peter Rubbens and Ruben Props (UGent)

(2021) MSYSTEMS. 6(1).
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Pars pro toto : every single cell matters

Fien Christiaens, Balkan Canher (UGent) , Fien Lanssens (UGent) , Anchal Bisht, Simon Stael (UGent) , Lieven De Veylder (UGent) and Jefri Heyman (UGent)

(2021) FRONTIERS IN PLANT SCIENCE. 12.
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Together is better : mRNA co‐encapsulation in lipoplexes is required to obtain ratiometric co‐delivery and protein expression on the single cell level

Heyang Zhang, Jeroen Bussmann, Florian H. Huhnke, Joke Devoldere (UGent) , An-Katrien Minnaert, Wim Jiskoot, Friedhelm Serwane, Joachim Spatz, Magnus Röding, Stefaan De Smedt (UGent) , et al.

(2021) ADVANCED SCIENCE. 9(4).
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Computational approaches for high-throughput single-cell data analysis

Helena Todorov and Yvan Saeys (UGent)

(2019) FEBS JOURNAL. 286(8). p.1451-1467
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Coculturing bacteria leads to reduced phenotypic heterogeneities

Jasmine Heyse (UGent) , Benjamin Buysschaert (UGent) , Ruben Props (UGent) , Peter Rubbens, Andre Skirtach (UGent) , Willem Waegeman (UGent) and Nico Boon (UGent)

(2019) APPLIED AND ENVIRONMENTAL MICROBIOLOGY. 85(8).
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Simultaneous in situ profiling of DNA lesion endpoints based on image cytometry and a single cell database approach

Philippe Baert, Geert Meesen (UGent) , Sofie De Schynkel (UGent) , André Poffyn (UGent) and Patric Van Oostveldt (UGent)

(2005) MICRON. 36(4). p.321-330

Academic Bibliography

Single-cell optical nanomotion of Candida albicans in microwells for rapid antifungal susceptibility testing

Agricultural wastes for brine shrimp Artemia production : a review

Single cell RNA-sequencing in Arabidopsis root tissues

Computational analysis of microbial flow cytometry data

Pars pro toto : every single cell matters

Together is better : mRNA co‐encapsulation in lipoplexes is required to obtain ratiometric co‐delivery and protein expression on the single cell level

Computational approaches for high-throughput single-cell data analysis

Coculturing bacteria leads to reduced phenotypic heterogeneities

Simultaneous in situ profiling of DNA lesion endpoints based on image cytometry and a single cell database approach

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