Assessing the performance of the Cell Painting assay across different imaging systems.

Quantitative microscopy is a powerful method for performing phenotypic screens from which image-based profiling can extract a wealth of information, termed profiles. These profiles can be used to elucidate the changes in cellular phenotypes across cell populations from different patient samples or following genetic or chemical perturbations. One such image-based profiling method is the Cell Painting assay, which provides morphological insight through the imaging of eight cellular compartments. Here, we examine the performance of the Cell Painting assay across multiple high-throughput microscope systems and find that all are compatible with this assay. Furthermore, we determine independently for each microscope system the best performing settings, providing those who wish to adopt this assay an ideal starting point for their own assays. We also explore the impact of microscopy setting changes in the Cell Painting assay and find that few dramatically reduce the quality of a Cell Painting profile, regardless of the microscope used.

Assessing the performance of the Cell Painting assay across different imaging systems.

Quantitative microscopy is a powerful method for performing phenotypic screens from which image-based profiling can extract a wealth of information, termed profiles. These profiles can be used to elucidate the changes in cellular phenotypes across cell populations from different patient samples or following genetic or chemical perturbations. One such image-based profiling method is the Cell Painting assay, which provides morphological insight through the imaging of eight cellular compartments. Here, we examine the performance of the Cell Painting assay across multiple high-throughput microscope systems and find that all are compatible with this assay. Furthermore, we determine independently for each microscope system the best performing settings, providing those who wish to adopt this assay an ideal starting point for their own assays. We also explore the impact of microscopy setting changes in the Cell Painting assay and find that few dramatically reduce the quality of a Cell Painting profile, regardless of the microscope used.

Development of an automated fluorescence microscopy system for photomanipulation of genetically encoded photoactivatable proteins (optogenetics) in live cells.

Photomanipulation of genetically encoded light-sensitive protein activity, also known as optogenetics, is one of the most innovative recent microscopy techniques in the fields of cell biology and neurobiology. Although photomanipulation is usually performed by diverting the photobleaching mode of a confocal laser microscope, photobleaching by the laser scanning unit is not always suitable for photoactivation. We have developed a simple automated wide-field fluorescence microscopy system for the photomanipulation of genetically encoded photoactivatable proteins in live cells. An electrically automated fluorescence microscope can be controlled through MetaMorph imaging software, making it possible to acquire time-lapse, multiwavelength images of live cells. Using the journal (macro recording) function of MetaMorph, we wrote a macro program to change the excitation filter for photoactivation and illumination area during the intervals of image acquisition. When this program was run on the wide-field fluorescence microscope, cells expressing genetically encoded photoactivatable Rac1, which is activated under blue light, showed morphological changes such as lamellipodial extension and cell surface ruffling in the illuminated region. Using software-based development, we successfully constructed a fully automated photoactivation microscopy system for a mercury lamp-based fluorescence microscope.