Application of reversibly switchable fluorescent proteins (RSFPs) to Non-Linear super-resolution microscopy

Cvic Innocent

Recent advances have occurred in the field of reversible, switchable fluorescent proteins (RSFPs), i. e. fluorescent proteins that can be switched by light several hundred times from a non-fluorescent (off) to a fluorescent (on) state and back. We are working on applying these live-cell-compatible labels in combination with Structured Illumination Microscopy to three-dimensional super-resolution imaging. Based on the non-linear response (on-off-switching) the technique is able to deliver unprecedented resolution in all spatial dimensions. We hope to gain new insights into the organization of the cell nucleus.

Micron Microscopy (standard & Bespoke Systems)

For Micron ABU I assess biological/microscopy procedures, adapting/modifying new features as needed. In this role my research is supportive: I maintain several microscopes -- designing & building module upgrades for increased application (when appropriate), prepare equipment-centric technical reports for long-term diagnostics, hold workshops on ideal SIM practices & data evaluation, train a large community of users, & analyze confidential data sets. Moreover, since my involvement in SIMcheck (an open-source ImageJ plug-in suite), I have made it a side-aim of mine to include new features I feel useful for core facility specialists.


Cvic Innocent (in conjunction with Alexander Al Saroori)


Cvic graduated from Cornell University with a PhD in MGB (with concentrations in Biochemistry, Biophysics, Neurobiology and Microbiology) where she did her thesis under Prof David Ditcher. There she modelled the process of secretory granule trafficking and secretion and used optogenetics to expand research on the hormonal release mechanisms and timing occurring at fruit fly larval neuromuscular junctions. 

She now works on various projects centered on the use of super-resolution microscopy as a tool both in the Schermelleh lab and in the Micron Advanced Bioimaging Unit.