R. ReyesPinto et al., “Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum,” Journal of Comparative Neurology, vol. 530, no. 2. Wiley, pp. 553–573, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/9955
DOI: 10.1002/cne.25229
WoS: 000686420000001
PMID: 34363623

R. A. Gisonno, T. Masson, N. A. Ramella, E. E. Barrera, V. Romanowski, and M. A. Tricerri, “Evolutionary and structural constraints influencing apolipoprotein AI amyloid behavior,” Proteins: Structure, Function, and Bioinformatics, vol. 90, no. 1. Wiley, pp. 258–269, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/15268
DOI: 10.1002/prot.26217
PMID: 34414600

F. A. Fredes Tolorza, M. A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi, M. A. Jösch, and R. Shigemoto, “Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation,” Current Biology, vol. 31, no. 1. Elsevier, p. –38., 2021.
LibreCat: https://research-explorer.ista.ac.at/record/7551
DOI: 10.1016/j.cub.2020.09.074
WoS: 000614361000020

A. Deichler et al., “A specialized reciprocal connectivity suggests a link between the mechanisms by which the superior colliculus and parabigeminal nucleus produce defensive behaviors in rodents,” Scientific Reports, vol. 10. Springer Nature, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8643
DOI: 10.1038/s41598-020-72848-0
WoS: 000577142600032

J. E. Salazar et al., “Anatomical specializations related to foraging in the visual system of a nocturnal insectivorous bird, the band-winged nightjar (Aves: Caprimulgiformes),” Brain, Behavior and Evolution, vol. 94, no. 1–4. Karger Publishers, pp. 27–36, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7160
DOI: 10.1159/000504162
WoS: 000522856600004
PMID: 31751995

J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A micro-CT-based method for quantitative brain lesion characterization and electrode localization,” Scientific Reports, vol. 8, no. 1. Nature Publishing Group, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/410
DOI: 10.1038/s41598-018-23247-z
WoS: 000428234100005

A. Shabazi et al., “Flexible learning-free segmentation and reconstruction of neural volumes,” Scientific Reports, vol. 8, no. 1. Nature Publishing Group, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/62
DOI: 10.1038/s41598-018-32628-3
WoS: 000445336600015

F. Garrido-Charad et al., ““Shepherd’s crook” neurons drive and synchronize the enhancing and suppressive mechanisms of the midbrain stimulus selection network,” Proceedings of the National Academy of Sciences, vol. 115, no. 32. National Academy of Sciences, pp. 15–23, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6010
DOI: 10.1073/pnas.1804517115
WoS: 000440982000020
PMID: 30026198

J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A micro-CT-based method for characterising lesions and locating electrodes in small animal brains,” Journal of visualized experiments, vol. 141. MyJove Corporation, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6
DOI: 10.3791/58585
WoS: 000456469400103

R. Shigemoto and M. A. Jösch, “The genetic encoded toolbox for electron microscopy and connectomics,” WIREs Developmental Biology, vol. 6, no. 6. Wiley-Blackwell, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/740
DOI: 10.1002/wdev.288
WoS: 000412827400005
PMID: 28800674

R. J. Beattie et al., “Mosaic analysis with double markers reveals distinct sequential functions of Lgl1 in neural stem cells,” Neuron, vol. 94, no. 3. Cell Press, p. 517–533.e3, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/944
DOI: 10.1016/j.neuron.2017.04.012
WoS: 000400466700011

O. Symonova, C. Topp, and H. Edelsbrunner, “DynamicRoots: A software platform for the reconstruction and analysis of growing plant roots,” PLoS One, vol. 10, no. 6. Public Library of Science, 2015.
LibreCat: https://research-explorer.ista.ac.at/record/1793
DOI: 10.1371/journal.pone.0127657

O. Symonova, C. Topp, and H. Edelsbrunner, “Root traits computed by DynamicRoots for the maize root shown in fig 2.” Public Library of Science, 2015.
LibreCat: https://research-explorer.ista.ac.at/record/9737
DOI: 10.1371/journal.pone.0127657.s001

C. Topp et al., “D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture,” PNAS, vol. 110, no. 18. National Academy of Sciences, pp. 95–04, 2013.
LibreCat: https://research-explorer.ista.ac.at/record/2822
DOI: 10.1073/pnas.1304354110
PMID: 25673779

H. Edelsbrunner and O. Symonova, “The adaptive topology of a digital image,” presented at the ISVD: International Symposium on Voronoi Diagrams in Science and Engineering, New Brunswick, NJ, USA , 2012, pp. 41–48.
LibreCat: https://research-explorer.ista.ac.at/record/2903
DOI: 10.1109/ISVD.2012.11