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Autodeblur version 8

Manufactured by Media Cybernetics

AutoDeblur version 8.0.2 is a software tool designed to reduce blur in digital images. It utilizes advanced algorithms to identify and correct various types of blur, including camera shake, motion blur, and out-of-focus blur. The software can be used with a wide range of image file formats.

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Lab products found in correlation

2 protocols using autodeblur version 8

1

Unbiased Imaging of Dendritic Spines

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Using an approach that precludes sampling bias of spines, dendritic segments were selected with a systematic-random design42 (link)43 (link)44 (link). Dendritic segments, 20–25 μm in length, on secondary and higher order branches and at 50 and 100 μm from the soma, were imaged on the Zeiss LSM 510 confocal microscope (Zeiss) using a 100×/1.4 N.A. Plan-Apochromat objective with a digital zoom of 3.5 and an Ar/Kr laser at an excitation wavelength of 488 nm. All confocal stacks were acquired at 512 × 512 pixel resolution with a z-step of 0.1 μm and approximately 1 μm above and below the identified dendritic segment, a pinhole setting of 1 Airy unit and optimal settings for gain and offset. On average 3 z-stacks were imaged per apical and basal tree and 5 neurons per animal. In order for a dendritic segment to be optimally imaged it had to satisfy the following criteria: (1) the entire segment had to fall within a depth of 50 μm; (2) dendritic segments had to be either parallel or at acute angles to the coronal surface of the section; and (3) segments did not overlap other segments that would obscure visualization of spines42 (link)43 (link)44 (link). To improve voxel resolution and reduce optical aberration along the Z-axis, the acquired images were deconvolved using an interactive blind deconvolution algorithm (AutoDeblur version 8.0.2; MediaCybernetics).
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2

Systematic-Random Sampling of CA1 Dendrites

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Using an approach that precludes sampling bias of spines, CA1 dendritic segments were selected with a systematic-random method
[80 (link), 81 (link)]. Dendritic segments, 20–25 μm in length, were imaged on a Zeiss CLSM 510 microscope (Zeiss) using a 100×/1.4 N.A. Plan-Apochromat objective with a digital zoom of 3.5 and an Ar/Kr laser at an excitation wavelength of 488 nm. All confocal stacks were acquired at 512 × 512 pixel resolution with a z-step of 0.1 μm, a pinhole setting of 1 Airy unit and optimal settings for gain and offset. All confocal stacks included approximately 1 μm above and below the identified dendritic segment. On average 6 z-stacks were imaged per neuron, 3 for the apical dendritic tree and 3 for the basal dendritic trees. To be optically imaged, a dendritic segment had to satisfy the following criteria: (1) the entire segment had to fall within a depth of 50 μm; (2) dendritic segments had to be either parallel or at acute angles to the coronal surface of the section; and (3) segments could not overlap other segments that would obscure visualization of spines
[80 (link), 81 (link)]. Confocal stacks were then deconvolved using an iterative blind deconvolution algorithm (AutoDeblur version 8.0.2; MediaCybernetics).
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