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Opera phenix

Manufactured by Spirochrome
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Sourced in Switzerland

The Opera Phenix™ is a high-performance, multi-mode microplate reader designed for versatile fluorescence-based applications. It offers a range of detection modes, including top and bottom fluorescence, luminescence, and absorbance measurements. The Opera Phenix™ provides researchers with a flexible and efficient tool for various assays and experiments.

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Lab products found in correlation

Columbus 2, by PerkinElmer (2 mentions) Opera phenix high content screening system, by PerkinElmer (2 mentions) Incucyte live cell analysis imaging, by Sartorius (2 mentions) Sir dna, by PerkinElmer (2 mentions) Sir dna, by Spirochrome (2 mentions)

2 protocols using opera phenix

1

Time-lapse Imaging of Cell Death

Check if the same lab product or an alternative is used in the 5 most similar protocols
Percentage cell death was assayed every 30-45 mins by time-lapse imaging using the IncuCyte® live cell analysis imaging (Essenbioscience) or the Opera Phenix™ High Content Screening System (PerkinElmer, USA) for 16 hours with 5%CO2 and 37°C climate control. For the IncuCyte® and Opera Phenix™ dead cells were identified by propidium iodide (PI; 0.25 μg/ml) staining and for the Opera Phenix™ all cells were stained with 250nM of SiR-DNA (Spirochrome, Switzerland). Dyes were added to the cells 2 hours before imaging and compounds were added 10 minutes before the start of imaging. For the Opera Phenix™, images were analysed using the server based Columbus 2.8.0 software (PerkinElmer, USA) to identify nuclei based on SiR-DNA staining and dead cells using PI staining. Results were exported as counts per well to be processed and graphed using R Studio (https://www.R-project.org/) with the tidyverse package (https://CRAN.R-project.org/package=tidyverse).
Lalaoui N., Boyden S.E., Oda H., Wood G.M., Stone D.L., Chau D., Liu L., Stoffels M., Kratina T., Lawlor K.E., Zaal K.J., Hoffmann P.M., Etemadi N., Shield-Artin K., Biben C., Tsai W.L., Blake M.D., Kuehn H.S., Yang D., Anderton H., Silke N., Wachsmuth L., Zheng L., Moura N.S., Beck D.B., Gutierrez-Cruz G., Ombrello A.K., Pinto-Patarroyo G.P., Kueh A.J., Herold M.J., Hall C., Wang H., Chae J.J., Dmitrieva N.I., McKenzie M., Light A., Barham B.K., Jones A., Romeo T.M., Zhou Q., Aksentijevich I., Mullikin J.C., Gross A.J., Shum A.K., Hawkins E.D., Masters S.L., Lenardo M.J., Boehm M., Rosenzweig S.D., Pasparakis M., Voss A.K., Gadina M., Kastner D.L, & Silke J. (2019). Mutations that prevent caspase cleavage of RIPK1 cause autoinflammatory disease. Nature, 577(7788), 103-108.
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2

Time-lapse Imaging of Cell Death

Check if the same lab product or an alternative is used in the 5 most similar protocols
Percentage cell death was assayed every 30-45 mins by time-lapse imaging using the IncuCyte® live cell analysis imaging (Essenbioscience) or the Opera Phenix™ High Content Screening System (PerkinElmer, USA) for 16 hours with 5%CO2 and 37°C climate control. For the IncuCyte® and Opera Phenix™ dead cells were identified by propidium iodide (PI; 0.25 μg/ml) staining and for the Opera Phenix™ all cells were stained with 250nM of SiR-DNA (Spirochrome, Switzerland). Dyes were added to the cells 2 hours before imaging and compounds were added 10 minutes before the start of imaging. For the Opera Phenix™, images were analysed using the server based Columbus 2.8.0 software (PerkinElmer, USA) to identify nuclei based on SiR-DNA staining and dead cells using PI staining. Results were exported as counts per well to be processed and graphed using R Studio (https://www.R-project.org/) with the tidyverse package (https://CRAN.R-project.org/package=tidyverse).
Lalaoui N., Boyden S.E., Oda H., Wood G.M., Stone D.L., Chau D., Liu L., Stoffels M., Kratina T., Lawlor K.E., Zaal K.J., Hoffmann P.M., Etemadi N., Shield-Artin K., Biben C., Tsai W.L., Blake M.D., Kuehn H.S., Yang D., Anderton H., Silke N., Wachsmuth L., Zheng L., Moura N.S., Beck D.B., Gutierrez-Cruz G., Ombrello A.K., Pinto-Patarroyo G.P., Kueh A.J., Herold M.J., Hall C., Wang H., Chae J.J., Dmitrieva N.I., McKenzie M., Light A., Barham B.K., Jones A., Romeo T.M., Zhou Q., Aksentijevich I., Mullikin J.C., Gross A.J., Shum A.K., Hawkins E.D., Masters S.L., Lenardo M.J., Boehm M., Rosenzweig S.D., Pasparakis M., Voss A.K., Gadina M., Kastner D.L, & Silke J. (2019). Mutations that prevent caspase cleavage of RIPK1 cause autoinflammatory disease. Nature, 577(7788), 103-108.
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