Author

D. Colon-Ramos

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Cell Biology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 4 Approach:deep learning· 4 Assay:fluorescence / live-cell microscopy· 3 Organism:mouse· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:deconvolution· 2 Research Focus:dimensionality reduction· 2 Approach:experimental assay· 2

Frequent Co-Authors

Y. Wu· 5 shared H. Shroff· 4 shared Y. Su· 4 shared H. Liu· 3 shared J. Liu· 3 shared M. Guo· 3 shared R. Christensen· 3 shared X. Han· 3 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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5 shared papersBioengineering

Y. Wu

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Author profile →

6 papers

Recent·Most cited

Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy

M. Guo, Y. Wu, C. M. Hobson, Y. Su, S. Qian, E. Krueger, R. Christensen, G. Kroeschell, J. Bui, M. Chaw, L. Zhang, J. Liu, X. Hou, X. Han, Z. Lu, , H. Shroff

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.

bioRxiv · Oct 15, 2023 · PreprintBioengineering

Polarized localization of kinesin-1 and RIC-7 drives axonal mitochondria anterograde transport

Y. Wu, C. Ding, A. Weinreb, L. Manning, G. Swaim, S. Yogev, D. Colon-Ramos, M. Hammarlund

The paper identifies kinesin-1 and RIC-7 as polarized transport complexes at the leading end of mitochondria driving anterograde axonal transport in C. elegans.

bioRxiv · Jul 12, 2023 · PreprintCell Biology

Incorporating the image formation process into deep learning improves network performance in deconvolution applications

Y. Li, Y. Su, M. Guo, X. Han, J. Liu, H. Vishwasrao, X. Li, R. Christensen, T. Sengupta, M. Moyle, J. Chen, T. B. Usdin, D. Colon-Ramos, H. Liu, Y. Wu, H. Shroff

This paper introduces RLN, a deep learning method for 3D fluorescence microscopy deconvolution that improves speed, performance, and generalizability compared to existing methods.

bioRxiv · Mar 5, 2022 · PreprintBiophysics

Multiview super-resolution microscopy

Y. Wu, X. Han, Y. Su, M. Glidewell, J. S. Daniels, J. Liu, T. Sengupta, I. Rey-Suarez, R. Fischer, A. Patel, C. Combs, J. Sun, X. Wu, R. Christensen, C. Smith, , H. Shroff

This paper introduces a multiview super-resolution microscopy approach that enhances confocal microscopy resolution and reduces phototoxicity across multiple scales.

bioRxiv · May 21, 2021 · PreprintBioengineering

Accelerating iterative deconvolution and multiview fusion by orders of magnitude

M. Guo, Y. Li, Y. Su, T. Lambert, D. D. Nogare, M. W. Moyle, L. H. Duncan, R. Ikegami, A. Santella, I. Rey-Suarez, D. Green, J. Chen, H. Vishwasrao, S. Ganesan, J. C. Waters, , H. Shroff

This paper introduces faster deconvolution and multiview fusion methods, achieving speedups of 10 to several thousand-fold over previous approaches.

bioRxiv · May 23, 2019 · PreprintBioengineering

The Glycolytic Protein Phosphofructokinase Dynamically Relocalizes into Subcellular Compartments with Liquid-like Properties in vivo

S. Jang, Z. Xuan, R. C. Lagoy, L. M. Jawerth, I. Gonzalez, M. Singh, S. Prashad, H. S. Kim, A. Patel, D. R. Albrecht, A. A. Hyman, D. Colon-Ramos

This study shows that PFK-1.1 dynamically forms liquid-like condensates in neurons under energy stress, revealing a new mechanism for subcellular organization.

bioRxiv · May 13, 2019Cell Biology