papers

Haberl M.G., Wong W., Penticoff S., Je J., Madany M., Borchhardt A., Boassa D., Peltier S.T., Ellisman M.H. CDeep3M-preview: Online segmentation using the deep neural network model zooPreprint at: https://doi.org/10.1101/2020.03.26.010660

Viana da Silva, S.*, Pei Zhang*, Haberl, M.G., Labrousse, V., Grosjean N., Blanchet, C., Frick, A., Mulle, C. Hippocampal mossy fibers synapses in CA3 pyramidal cells are altered at an early stage in a mouse model of Alzheimer’s disease. (2019) Journal of Neuroscience; 39 (21) 4193-4205. DOI: 10.1523/JNeurosci.2868-18.2019

Haberl M.G., Churas C, Tindall L, Boassa D, Phan S, Bushong EA, Madany M, Akay R, Deerinck TJ, Peltier ST, Ellisman MH. CDeep3M – Plug-and-Play cloud based deep learning for image segmentation. (2018) Nature Methods Vol. 15, p677–680. DOI: 10.1038/s41592-018-0106-z

Zerbi V, Ielacqua GD, Markicevic M, Haberl M.G., Ellisman MH, A-Bhaskaran A, Frick A, Rudin M, Wenderoth N. Dysfunctional Autism Risk Genes Cause Circuit-Specific Connectivity Deficits With Distinct Developmental Trajectories. (2018) Cerebral Cortex 28 (7), 2495-2506. DOI: 10.1093/cercor/bhy046

Katchalski, T., Case, T., Kim, K.Y., Ramachandra, R., Bushong, E.A., Deerinck, T.J., Haberl, M.G., Mackey, M.R., Peltier, S.T., Castillon, G.A., Fujikawa, N., Lawrence, A.R., Ellisman, M.H. Iron-specific Signal Separation from within Heavy Metal Stained Biological Samples Using X-Ray Microtomography with Polychromatic Source and Energy-Integrating Detectors. Scientific Reports 2018 May 15;8(1):7553. 
DOI: 
10.1038/s41598-018-25099-z

Aloisi E., Le Corf K., Dupuis J.P., Zhang P., Ginger, M., Labrousse V., Spatuzza M., Haberl M.G., Costa L., Shigemoto R., Tappe-Theodor A., Drago F., Piazza P.V., Mulle C., Groc L., Ciranna L., §Catania M.V.  and §Frick A. Altered surface mGluR5 dynamics provoke synaptic NMDAR dysfunction and cognitive defects in Fmr1 knockout mice. (2018) Nature Communications 8 (1), 1103. DOI: 10.1038/s41467-017-01191-2

Haberl, M.G., Ginger, M. and Frick, A. Dual anterograde and retrograde viral tracing of reciprocal connectivity. (2017) Methods in Molecular Biology, 1538, 321. 
DOI: 
10.1007/978-1-4939-6688-2_21

Viana da Silva, S., Haberl, M.G., Zhang, P., Bethge, P.,  Lemos, C., Goncalves, N., Gorlewicz, A., Malezieux, M., Goncalves, F.Q., Grosjean, N., Frick, A., Nagerl, UV., Cunha, R.,  Mulle, C. Early synaptic deficits in the APP/PS1 mouse model of Alzheimer’s disease involve neuronal adenosine A2A receptorsNature Communications 2016 Jun 17;7:11915. DOI: 10.1038/ncomms11915

Haberl, M.G, Zerbi, V., Veltien, A., Ginger, M., Heerschap, A. and Frick, A. (2015) Structural and functional connectivity deficits in neocortical circuits of Fragile X mice.  Science Advances; 2015 Nov 20;1(10):e1500775. DOI: 10.1126/sciadv.1500775

Haberl, M.G.*, Viana da Silva, S.*, Guest, M., Ghanem, A., Ginger, M., Mulle, C., Oberlaender, M., Conzelmann, K.K., Frick, A. An anterograde rabies virus vector for high-resolution large-scale reconstruction of 3D neuron morphology. *equal contributions. (2015) Brain Structure and Function 220 (3), 1369-1379. 10.1007/s00429-014-0730-z

Ginger M.*, Bony G.*, Haberl M.G. and Frick A. (2015) Use of Rhabdoviruses to Study Neural Circuitry. *equal contributions (Book Chapter) Biology and Pathogenesis of Rhabdo- and Filoviruses, 263-287. DOI: 10.1142/9789814635349_0011

Ginger, M.*Haberl, M.*, Conzelmann, K.K., Schwarz, M.K., Frick, A. Revealing the secrets of neuronal circuits with recombinant rabies virus technology.Front Neural Circuits. 2013;7:2. *equal contributions.10.3389/fncir.2013.00002

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