D. Michael Ando
D. Michael Ando
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Cited by
Cited by
Autophagy induction enhances TDP43 turnover and survival in neuronal ALS models
SJ Barmada, A Serio, A Arjun, B Bilican, A Daub, DM Ando, A Tsvetkov, ...
Nature chemical biology 10 (8), 677-685, 2014
Astrocyte pathology and the absence of non-cell autonomy in an induced pluripotent stem cell model of TDP-43 proteinopathy
A Serio, B Bilican, SJ Barmada, DM Ando, C Zhao, R Siller, K Burr, ...
Proceedings of the National Academy of Sciences 110 (12), 4697-4702, 2013
In silico labeling: predicting fluorescent labels in unlabeled images
EM Christiansen, SJ Yang, DM Ando, A Javaherian, G Skibinski, S Lipnick, ...
Cell 173 (3), 792-803. e19, 2018
Proteostasis of polyglutamine varies among neurons and predicts neurodegeneration
AS Tsvetkov, M Arrasate, S Barmada, DM Ando, P Sharma, BA Shaby, ...
Nature chemical biology 9 (9), 586-592, 2013
Assessing microscope image focus quality with deep learning
SJ Yang, M Berndl, DM Ando, M Barch, A Narayanaswamy, ...
BMC bioinformatics 19 (1), 1-9, 2018
The RNA-binding Protein TDP-43 Selectively Disrupts MicroRNA-1/206 Incorporation into the RNA-induced Silencing Complex*♦
IN King, V Yartseva, D Salas, A Kumar, A Heidersbach, DM Ando, ...
Journal of Biological Chemistry 289 (20), 14263-14271, 2014
Nrf2 mitigates LRRK2-and α-synuclein–induced neurodegeneration by modulating proteostasis
G Skibinski, V Hwang, DM Ando, A Daub, AK Lee, A Ravisankar, ...
Proceedings of the National Academy of Sciences 114 (5), 1165-1170, 2017
No difference in kinetics of tau or histone phosphorylation by CDK5/p25 versus CDK5/p35 in vitro
DW Peterson, DM Ando, DA Taketa, H Zhou, FW Dahlquist, J Lew
Proceedings of the National Academy of Sciences 107 (7), 2884-2889, 2010
High-throughput screening in primary neurons
P Sharma, DM Ando, A Daub, JA Kaye, S Finkbeiner
Methods in enzymology 506, 331-360, 2012
Improving phenotypic measurements in high-content imaging screens
DM Ando, CY McLean, M Berndl
BioRxiv, 161422, 2017
Automated robotic microscopy systems
SM Finkbeiner, DM Ando, AC Daub
US Patent 10,474,920, 2019
Longitudinal imaging and analysis of neurons expressing polyglutamine-expanded proteins
AS Tsvetkov, DM Ando, S Finkbeiner
Tandem Repeats in Genes, Proteins, and Disease, 1-20, 2013
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
GW Ashdown, M Dimon, M Fan, FSR Terán, K Witmer, DCA Gaboriau, ...
Science advances 6 (39), eaba9338, 2020
Applying deep neural network analysis to high-content image-based assays
SJ Yang, SL Lipnick, NR Makhortova, S Venugopalan, M Fan, ...
SLAS DISCOVERY: Advancing Life Sciences R&D 24 (8), 829-841, 2019
Morphological profiling of tubercle bacilli identifies drug pathways of action
TC Smith, KM Pullen, MC Olson, ME McNellis, I Richardson, S Hu, ...
Proceedings of the National Academy of Sciences 117 (31), 18744-18753, 2020
Physics-enhanced machine learning for virtual fluorescence microscopy
CL Cooke, F Kong, A Chaware, KC Zhou, K Kim, R Xu, DM Ando, ...
arXiv preprint arXiv:2004.04306, 2020
A three‐groups model for high‐throughput survival screens
BA Shaby, G Skibinski, M Ando, ES LaDow, S Finkbeiner
Biometrics 72 (3), 936-944, 2016
Batch equalization with a generative adversarial network
WW Qian, C Xia, S Venugopalan, A Narayanaswamy, M Dimon, ...
Bioinformatics 36 (Supplement_2), i875-i883, 2020
Phenotype analysis of cellular image data using a deep metric network
DM Ando, M Berndl
US Patent 10,467,754, 2019
Phenotype analysis of cellular image data using a deep metric network
DM Ando, M Berndl
US Patent 10,134,131, 2018
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