Los Alamos National Labs with logo 2021

Workshop on Visualizing Living Systems

Understanding the interactions among cells can lead to exciting advancements in bioscience research and medicine

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decorative image with RNA molecule with fluorescent tags, cells with fluorescent tags and a human torso with fluorescence

Visualizing functions in living systems—at the cellular level and even the genomic level—can lead to new biological discoveries.

Workshop Overview

Emergent technologies are being developed to provide unprecedented insight into core biological processes such as replication, transcription, and translation. Real-time methods that incorporate a range of capabilities will allow scientists to watch cellular pathways turn off and on and observe cellular interactions. The high-resolution dynamic data these technologies furnish will facilitate advances in in silico biology and ultimately stand to transform bioscience research and impact medical technology and practice. 

With this vision in mind, workshop speakers and participants will explore the following questions:

  • How do we most rapidly advance these capabilities?
  • What are the most promising existing and novel methods and what (and when) capabilities might these methods provide?
  • What kind of perturbations to normal function will occur and how can these undesired effects be minimized?
  • How can we combine these techniques?
  • How will computation and advanced signal processing impact what can be done?
  • Professor Nathalie Q. Balaban, The Hebrew University, Jerusalem, Israel
  • Professor Douglas Shepherd, Arizona State University
  • Dr. Tatsuya Morisaki, Colorado State University
  • Dr. Linda Stephanie Forero-Quiitero, Colorado State University
  • Dr. Karissa Sanbonmatsu, Los Alamos National Laboratory
  • Dr. Scott Hennelly, Los Alamos National Laboratory

Additional speakers are currently being solicited. If you are interested in nominating a speaker, please indicate so in your registration. All nominations must be made by February 15, 2021.


Click here to register for the Visualizing Living Systems Workshop. 

Webex details will be distributed to registered participants via email.



Download Agenda PDF

Workshop will be held via WebEx. All times listed are MST.

February 25, 2021


8:30 Murray Wolinsky, Los Alamos National Laboratory

Persistence: a driving application

8:45 Professor Nathalie Balaban, The Hebrew University 
Quantitative understanding of antibiotic persistence:evolutionary and clinical consequences

9:30 Dr. Madeline Bolding, Los Alamos National Laboratory Persistence in cancer

9:50 Dr. Dean Morales, Los Alamos National Laboratory Persistence in bacteria

10:10   Discussion

Visualizing life

10:30   Dr. Tatsuya Morisaki, Colorado State University
Visualizing the central dogma at single-molecule resolution in living cells

11:15   Dr. Scott Hennelly, Los Alamos National Laboratory RIVOT technology development

11:45   Discussion

Computational Approaches

12:30   Dr. Huy Vo, Colorado State University
Measurement Noise and the optimal design of single-cell experiments

12:55   Dr. Karissa Sanbonmatsu, Los Alamos National Laboratory 
FRET Modeling and transporter simulation

1:25   Dr. Luis Aguilera, Colorado State University
A computational framework to study single-molecule canonical and non-canonical translation dynamics

1:50   Dr. Shounak Banerjee Transporter modeling

2:10    Discussion

Experimental Approaches

2:30 Dr. Linda Stephanie Forero-Quintero, Colorado State University
Live-cell imaging reveals the spatiotemporal organization of endogenous RNA
polymerase II phosphorylation at a single gene

3:15 Dr. Anand Kumar, Los Alamos National Laboratory
Integration and maintenance of unnatural base pairs (UBPS) inside the living cell

3:35 Dr. Joshua Corbin, Los Alamos National Laboratory Synthetic chemistry in support of RIVOT

3:55 Professor Doug Shepherd, Arizona State University
Moving away from the coverslip, high-speed 3D single molecule imaging using oblique plane microscopy

4:30 Dr. Natalie Pace FRET Gate for Real-time in vivo transcription

Discussion and wrap-up

4:55     Discussion