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joda01 committed Oct 30, 2024
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Expand Up @@ -5,8 +5,8 @@ The concept behind ImageC is to run pipelines containing image pre-processing an
For each extracted object the origin information: image, image channel, z-stack and t-stack are stored.
In Advanced, objects need to be classified for object statistics calculation and later quantification.

For classification ImageC provides the labels {guilabel}`Clusters` and {guilabel}`Classes`.
Every object is assigned to exact one cluster and class.
For classification ImageC provides the annotations {guilabel}`Cluster` and {guilabel}`Class`.
Every object is annotated with exact one cluster and one class.


(clusters-and-classes)=
Expand All @@ -32,27 +32,8 @@ However ImageC also allows to create own presets which can be shared with others
It is recommended to use pre-defined classification presets to allow later comparison of results from different runs by different people.
:::

(image-channels)=
## Image channels
## Class hierarchy

:::{sidebar} Image plane

An image may comprise one or more C (channels), with each channel in turn consisting of a series of T (time) stacks, and these in turn consisting of a series of Z stacks.

The combination channel, Z stack (z) and time stack (t) is called image plane.
ImageC is able to process each image plane of an image, based on the taken project and pipeline settings.


```{image} images/image_channels.drawio.svg
:class: full-image
```

:::


ImageC is able to process every channel of an image based on the settings taken in the {guilabel}`Project` tab and the pipeline.
However it is possible to either process each Z stack image individually or using a projection algorithm to combine all images of a Z stack to a single stack image.
For the time stack it is either possible to analyze exact one image of a T stack or to analyze the whole time series.

The image plane information is stored with each object extracted from that plane.
If a Z-projection is used, the Z-stack index is always assumed to be 0.
For the future it is planned to allow class hierarchies.
Class hierarchies should address the need of a more fine granular classification of objects without loosing the scope.
Statistical questions like: Give me the number of found cells! or Give me the number of found hec cells! are possible then.
24 changes: 24 additions & 0 deletions docs/fundamentals/images.md
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(images)=
# Images

:::{sidebar} Image plane

An image may comprise one or more C (channels), with each channel in turn consisting of a series of T (time) stacks, and these in turn consisting of a series of Z stacks.

The combination channel, Z stack (z) and time stack (t) is called image plane.
ImageC is able to process each image plane of an image, based on the taken project and pipeline settings.


```{image} images/image_channels.drawio.svg
:class: full-image
```

:::


ImageC is able to process every channel of an image based on the settings taken in the {guilabel}`Project` tab and the pipeline.
However it is possible to either process each Z stack image individually or using a projection algorithm to combine all images of a Z stack to a single stack image.
For the time stack it is either possible to analyze exact one image of a T stack or to analyze the whole time series.

The image plane information is stored with each object extracted from that plane.
If a Z-projection is used, the Z-stack index is always assumed to be 0.
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3 changes: 2 additions & 1 deletion docs/analyze/index.md → docs/fundamentals/index.md
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# Analyze
# Fundamentals

:::{toctree}
:maxdepth: 3

classification
pipelines
images
voronoi_slots
intersection_slots
:::
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2 changes: 1 addition & 1 deletion index.md
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Expand Up @@ -23,7 +23,7 @@ Use the [decision aid](decision-aid) to get a feeling if ImageC meets your requi

docs/intro/index
docs/starting/index
docs/analyze/index
docs/fundamentals/index
docs/advanced/index
:::

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