Ando, D. Michael

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images

Christiansen, E. M., Yang, S. J., Ando, D. M., Javaherian, A., Skibinski, G., Lipnick, S., Mount, E., O’Neil, A., Shah, K., Lee, A. K., et al. (2018) · Cell

Cell Image Analysis TechniquesAdvanced Fluorescence Microscopy Techniques

Cited by 635

Autophagy induction enhances TDP43 turnover and survival in neuronal ALS models

Barmada, S. J., Serio, A., Arjun, A., Bilican, B., Daub, A., Ando, D. M., Tsvetkov, A., Pleiss, M., Li, X., Peisach, D., et al. (2014) · Nature Chemical Biology

Amyotrophic Lateral Sclerosis ResearchAutophagy in Disease and Therapy

Cited by 431

Astrocyte pathology and the absence of non-cell autonomy in an induced pluripotent stem cell model of TDP-43 proteinopathy

Serio, A., Bilican, B., Barmada, S. J., Ando, D. M., Zhao, C., Siller, R., Burr, K., Haghi, G., Story, D., Nishimura, A. L., et al. (2013) · Proceedings of the National Academy of Sciences

Amyotrophic Lateral Sclerosis ResearchPluripotent Stem Cells Research

Cited by 345

Proteostasis of polyglutamine varies among neurons and predicts neurodegeneration

Tsvetkov, A. S., Arrasate, M., Barmada, S., Ando, D. M., Sharma, P., Shaby, B. A., & Finkbeiner, S. (2013) · Nature Chemical Biology

Genetic Neurodegenerative DiseasesLysosomal Storage Disorders Research

Cited by 178

Improving Phenotypic Measurements in High-Content Imaging Screens

Ando, D. M., McLean, C. Y., & Berndl, M. (2017) · bioRxiv (Cold Spring Harbor Laboratory)

Cell Image Analysis TechniquesComputational Drug Discovery Methods

Cited by 96

Applying Deep Neural Network Analysis to High-Content Image-Based Assays

Yang, S. J., Lipnick, S. L., Makhortova, N. R., Venugopalan, S., Fan, M., Armstrong, Z., Schlaeger, T. M., Deng, L., Chung, W. K., O’Callaghan, L., et al. (2019) · SLAS DISCOVERY

Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics

Cited by 36