The largest database of trusted experimental protocols

Cast stereology software version 2

Manufactured by Olympus
Sourced in Japan

CAST stereology software version 2.3.1.5 is a digital image analysis tool designed for the quantitative assessment of biological samples. The software provides a range of stereological analysis techniques to measure various morphological parameters of cells, tissues, and structures within a sample. The core function of CAST is to enable accurate and reproducible quantification of sample characteristics through the application of well-established stereological principles.

Automatically generated - may contain errors

2 protocols using cast stereology software version 2

1

Stereology-Based Quantification of Astrocyte and Neuron Transduction

Check if the same lab product or an alternative is used in the 5 most similar protocols
Stereology-based studies were performed as previously described (39 (link)), using a motorized stage of an Olympus BX51 epifluorescence microscope equipped with a DP70 digital CCD camera, an X-Cite fluorescent lamp, and the associated CAST stereology software version 2.3.1.5 (Olympus, Tokyo, Japan). Each cerebral area (respectively cortex, hippocampus and striatum) was initially outlined under the 4× objective in order to define the region of interest to scan. Random sampling of the selected area was defined using the optical dissector probe of the software. To evaluate the percentage of AAV9/exo-AAV9 transduced astrocytes or neurons, the stereology-based counts were performed under the 20× objective, with a meander sampling of 10% for the surface of cortex and striatum, and 30% for the hippocampus. For each counting frame, the total number of astrocytes (GS positive cells) or neurons (NeuN positive cells) were evaluated, and, among each of those populations, the GFP positive cells. Only glial and neuronal cells with DAPI-positive nucleus within the counting frame were considered. Counts were performed blindly. The density of astrocytes and of microglial cells was calculated as the number of cells of each type (+/− GFP positive cells), divided by the total area sampled (number of disectors × counting frame size).
+ Open protocol
+ Expand
2

Stereology-Based Quantification of Astrocyte and Neuron Transduction

Check if the same lab product or an alternative is used in the 5 most similar protocols
Stereology-based studies were performed as previously described (39 (link)), using a motorized stage of an Olympus BX51 epifluorescence microscope equipped with a DP70 digital CCD camera, an X-Cite fluorescent lamp, and the associated CAST stereology software version 2.3.1.5 (Olympus, Tokyo, Japan). Each cerebral area (respectively cortex, hippocampus and striatum) was initially outlined under the 4× objective in order to define the region of interest to scan. Random sampling of the selected area was defined using the optical dissector probe of the software. To evaluate the percentage of AAV9/exo-AAV9 transduced astrocytes or neurons, the stereology-based counts were performed under the 20× objective, with a meander sampling of 10% for the surface of cortex and striatum, and 30% for the hippocampus. For each counting frame, the total number of astrocytes (GS positive cells) or neurons (NeuN positive cells) were evaluated, and, among each of those populations, the GFP positive cells. Only glial and neuronal cells with DAPI-positive nucleus within the counting frame were considered. Counts were performed blindly. The density of astrocytes and of microglial cells was calculated as the number of cells of each type (+/− GFP positive cells), divided by the total area sampled (number of disectors × counting frame size).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!