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Zyla 5.5 megapixel

Manufactured by Oxford Instruments

The Zyla 5.5 megapixel is a scientific-grade camera developed by Oxford Instruments. It features a 5.5 megapixel CMOS sensor and can capture high-quality images and video for scientific research and analysis applications.

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2 protocols using zyla 5.5 megapixel

1

Fluorescent Mitochondrial Fusion Assay

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Mitochondria were imaged on microscope slides by mixing 3 μl fusion reaction with 3 μl of 3% low-melt agarose made in modified fusion buffer (20 mM PIPES-KOH, pH 6.8, 150 mM KOAc, 5 mM Mg(OAc)2, 0.4 M sorbitol) before overlaying with a coverslip. A Z-series of 0.2-μm steps was collected with a Nikon Ti-E wide-field microscope with a 100× NA 1.4 oil objective (Nikon), a solid -state light source (Spectra X; Lumencor), and a sCMOS camera (Zyla 5.5 megapixel). For each condition tested, mitochondrial fusion was assessed by counting ≥300 total mitochondria per condition from ≥4 images of each condition, and individual fusion events were scored by colocalization of the red and cyan fluorophores in three dimensions.
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2

Mitochondrial Dynamics Imaging Protocol

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Cells transduced with mito-paGFP (#23348; Addgene) and either Mfn1-FLAG pBabe-hygro or Mfn2-FLAG-P2A-blasticidin pBabe were plated in No. 1.5 glass-bottomed dishes (MatTek). MEFs were incubated with 0.1 μg/ml MitoTracker Red CMXRos for 15 min at 37°C with 5% CO2, washed, and incubated with complete media for at least 45 min before imaging. MEFs were imaged at 37°C with 5% CO2. A region that was ∼1 μm2 was activated using a 405-nm laser, and the same cell was imaged every 10 min for 50 min. Images were collected with a Nikon Ti-E widefield microscope with a 63× NA 1.4 oil objective (Nikon), a solid-state light source (SPECTRA X; Lumencor), and an sCMOS camera (Zyla 5.5 Megapixel). Images were cropped and deconvolved using 15 iterations of 3D Landweber deconvolution on Offline Deconvolution software (Nikon). Data were then analyzed using Nikon NIS-Elements Analysis software. Background was removed, and maximum intensity projections were created. Each channel was thresholded separately for each cell, and the number of pixels that were both mCherry positive and GFP positive were recorded. Spread of paGFP was calculated as the number of pixels that were both GFP and mCherry positive divided by total number of mCherry pixels after 50 min divided by the same variable at 0 min (immediately after activation). Graphs were created in Prism (GraphPad).
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