Multiscale imaging at high spatiotemporal resolution
- Abstract number
- 300
- DOI
- 10.22443/rms.mmc2023.300
- Corresponding Email
- [email protected]
- Session
- Optical Imaging of Fast Dynamic Processes
- Authors
- Dr. Hari Shroff (1)
- Affiliations
-
1. Howard Hughes Medical Institute
- Keywords
super-resolution microscopy; 3D SIM; deep learning; image restoration
- Abstract text
I will describe two recent efforts to improve the imaging of living specimens at different spatiotemporal scales. First, I will discuss improvements to the axial resolution of 3D structured illumination microscopy (3D SIM), a widely used super-resolution technique appropriate for imaging single cells [1]. By incorporating a mirror opposite the sample, we are able to improve axial resolution ~2-fold over 3D SIM (or 4-fold over widefield microscopy), producing super-resolution images with near-isotropic resolution. We also demonstrate a complementary method that harnesses deep learning to achieve isotropic images directly from noisy 3D SIM images, which is particularly beneficial for volumetric time-lapse (4D) imaging. Second, I will discuss multi-view confocal microscopy [2], a method that improves the resolution of confocal microscopy and can similarly be combined with deep learning to provide class-leading performance in thicker, scattering samples. The tradeoffs as well as advantages of both methods will be discussed candidly with an eye to future improvements.
- References
1) Li, X., Wu, Y., Su, Y., Rey-Suarez, I.A., Matthaeus, C., Updegrove, T.B., Wei, Z., Zhang, L., Sasaki, H., Li, Y., Guo, M., Giannini, J.P., Vishwasrao, H.D., Chen, J., Lee, S-J. J., Shao, L., Liu, H., Ramamurthi, K.S., Taraska, J.W., Upadhyaya, A., La Riviere, P., Shroff, H. Three-dimensional structured illumination microscopy with enhanced axial resolution. Nature Biotechnology, available online (2023).
2) Wu, Y., Han, X., Su, Y., Glidewell, M., Daniels, J.S., Liu, J., Sengupta, T., Rey-Suarez, I., Fischer, R., Patel, A., Combs, C., Su, J., Wu, X., Christensen, R., Smith, C., Bao, L., Sun, Y., Duncan, L.H., Chen, J., Pommier, Y., Shi, Y-B., Murphy, E., Roy, S., Upadhyaya, A., Colón-Ramos, D., La Riviere, P., Shroff, H. Multiview confocal super-resolution microscopy. Nature 600 (7888): 279-284 (2021).