Probing cellular processes by long-term live imaging--historic problems and current solutions.
Living organisms, tissues, cells and molecules are highly dynamic. The importance of their continuous and long-term observation has been recognized for over a century but has been limited by technological hurdles. Improvements in imaging technologies, genetics, protein engineering and data analysis have more recently allowed us to answer long-standing questions in biology using quantitative continuous long-term imaging. This requires a multidisciplinary collaboration between scientists of various backgrounds: biologists asking relevant questions, imaging specialists and engineers developing hardware, and informaticians and mathematicians developing software for data acquisition, analysis and computational modeling. Despite recent improvements, there are still obstacles to be addressed before this technology can achieve its full potential. This Commentary aims at providing an overview of currently available technologies for quantitative continuous long-term single-cell imaging, their limitations and what is required to bring this field to the next level. We provide an historical perspective on the development of this technology and discuss key issues in time-lapse imaging: keeping cells alive, using labels, reporters and biosensors, and hardware and software requirements. We highlight crucial and often non-obvious problems for researchers venturing into the field and hope to inspire experts in the field and from related disciplines to contribute to future solutions.
ETH Zurich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
Daniel L
DL
Coutu
Timm
T
Schroeder
D000818:Animals; D015374:Biosensing Techniques / Q000379:methods*; D018929:Cell Culture Techniques / Q000379:methods*; D002478:Cells, Cultured; D003952:Diagnostic Imaging / Q000379:methods*; D005455:Fluorescent Antibody Technique / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008856:Microscopy, Fluorescence / Q000379:methods; D059008:Time-Lapse Imaging / Q000379:methods
Biosensors; Fluorescence; Hardware; Single-cell imaging; Software; Time-lapse microscopy