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1Tumour Targeting Laboratory,Olivia Newton-John Cancer Research Institute, 2School of Cancer Medicine,La Trobe University, 3Centre for Micro-Photonics, Faculty of Science, Engineering and Technology,Swinburne University of Technology, 4LIMS Bioimaging Facility, La Trobe Institute for Molecular Science,La Trobe University, 5Department of Medical Oncology, Olivia Newton-John Cancer and Wellnes Centre,Austin Health, 6Department of Medicine,University of Melbourne, 7Department of Molecular Imaging and Therapy,Austin Health
Chapters
- 00:04Title
- 00:39Calculation of Image Correlation Spectroscopy
- 03:43Batch Processing of ICS Datasets and Calculation of the Microscope s Beam Area
- 04:59Results: Image Correlation Spectroscopy Detects Clusters on the Cell Surface of Adherent Cancer Cells
- 05:55Conclusion
Anticuerpos que se unen a los receptores de blanco en la superficie celular pueden conferir conformación y alteraciones clustering. Estos cambios dinámicos tienen implicaciones para caracterizar el desarrollo de fármacos en las células diana. Este protocolo utiliza la microscopia confocal y espectroscopia de la correlación de imagen a través de ImageJ/FIJI para cuantificar el grado de agrupamiento en la superficie celular del receptor.
