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C11440 orca flash cmos 4.0 camera

Manufactured by Hamamatsu Photonics

The Hamamatsu Photonics C11440 ORCA-flash CMOS 4.0 camera is a high-performance scientific imaging device. It features a CMOS image sensor with a resolution of 4.2 megapixels and a 6.5 μm pixel size. The camera supports a maximum frame rate of 100 fps at full resolution and various readout modes to optimize performance for different applications.

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4 protocols using c11440 orca flash cmos 4.0 camera

1

STORM Imaging of Labeled Retinal Tissue

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STORM imaging and processing TIRF Imaging experiments were done with a Nikon eclipse Ti2 inverted microscope equipped with Nikon Instruments (N-STORM). A 100 × TIRF objective 1.49NA lens was utilized and imaged using a Hamamatsu C11440 ORCA-flash CMOS 4.0 camera. Images were acquired sequentially 10,000 frames per filter channel at 20 ms time duration. Retinal tissue (N = 3 biological replicates) labeled with JF646 secondary (Additional file 1: Table S2) were excited with 90% laser power from a 647 nm laser and A568 secondary (Additional file 1: Table S2) labeled samples were excited with a 561 nm laser at 100% laser power. Nikon Nd2 files were separated and converted to tiff files per channel by a custom python script. STORM localization analysis was carried out with either the ImageJ thunderstorm plugin (1.3–2014-11–08) or WindSTORM MATLAB code. Data was fitted with a Gaussian PSF model using weighted least-squares estimation for the thunderstorm plugin.
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2

TIRF Imaging of Cellular Structures

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TIRF Imaging experiments were done with a Nikon eclipse Ti2 inverted microscope equipped with Nikon Instruments (N-STORM). A 100x TIRF objective 1.49NA objective lens was utilized and imaged using a Hamamatsu C11440 ORCA-flash CMOS 4.0 camera. Images were acquired sequentially 10,000 frames per filter channel at 20ms time duration. Cells labeled with JF646 secondary labeled were excited with 90% laser power from a 647 nm laser and A568 secondary labeled cells were excited with a 561nm laser at 100% laser power. Nikon Nd2 files were separated and converted to tiff files per channel by custom python script. STORM localization analysis was carried out with either ImageJ, thunderstorm plugin (1.3-2014-11-08) or WindSTORM MATLAB code. Data was fitted with Gaussian PSF model using weighted least-squares estimation for thunderstorm plugin.
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3

TIRF Imaging of Cellular Structures

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TIRF Imaging experiments were done with a Nikon eclipse Ti2 inverted microscope equipped with Nikon Instruments (N-STORM). A 100x TIRF objective 1.49NA objective lens was utilized and imaged using a Hamamatsu C11440 ORCA-flash CMOS 4.0 camera. Images were acquired sequentially 10,000 frames per filter channel at 20ms time duration. Cells labeled with JF646 secondary labeled were excited with 90% laser power from a 647 nm laser and A568 secondary labeled cells were excited with a 561nm laser at 100% laser power. Nikon Nd2 files were separated and converted to tiff files per channel by custom python script. STORM localization analysis was carried out with either ImageJ, thunderstorm plugin (1.3-2014-11-08) or WindSTORM MATLAB code. Data was fitted with Gaussian PSF model using weighted least-squares estimation for thunderstorm plugin.
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4

STORM Imaging of Retinal Samples

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STORM imaging and processing TIRF Imaging experiments were done with a Nikon eclipse Ti2 inverted microscope equipped with Nikon Instruments (N-STORM). A 100x TIRF objective 1.49NA objective lens was utilized and imaged using a Hamamatsu C11440 ORCA-flash CMOS 4.0 camera. Images were acquired sequentially 10,000 frames per filter channel at 20 millisecond time duration. Retinal tissue (N = 3 biological replicates) was labeled with JF646 secondary (Supplemental Table 2) were excited with 90% laser power from a 647 nm laser and A568 secondary (Supplemental Table 2) labeled samples were excited with a 561 nm laser at 100% laser power. Nikon Nd2 files were separated and converted to tiff files per channel by custom python script. STORM localization analysis was carried out with either ImageJ, thunderstorm plugin (1.3-2014-11-08) or WindSTORM MATLAB code. Data was fitted with Gaussian PSF model using weighted least-squares estimation for thunderstorm plugin.
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