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Optophysiology project and goals #108

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4 changes: 2 additions & 2 deletions docs/source/blog/neuroblueprint.md
Original file line number Diff line number Diff line change
Expand Up @@ -153,7 +153,7 @@ levels. The naming of these folders should adhere to a certain style, as exempli
<br>

While the full specification is available to read
[here](https://neuroblueprint.neuroinformatics.dev/specification.html),
[here](https://neuroblueprint.neuroinformatics.dev/latest/specification.html),
we provide a brief summary of its main features:

- A top-level distinction splitting raw data ("rawdata") and data derived from processing the raw data ("derivatives")
Expand All @@ -173,7 +173,7 @@ but recommendations for these are in development.
### Getting Started

Getting started with **NeuroBlueprint** is as easy as reading the
[specification](https://neuroblueprint.neuroinformatics.dev/specification.html), and organising your experimental
[specification](https://neuroblueprint.neuroinformatics.dev/latest/specification.html), and organising your experimental
folders according to the standard. It's recommended to get started by using **NeuroBlueprint** with your
next experiment, rather than trying to re-organise existing folders and analysis code, which is always tricky.

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21 changes: 21 additions & 0 deletions docs/source/projects.md
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Expand Up @@ -51,6 +51,27 @@ test different pipeline configurations.
:::
::::


(projects-optophysiology)=
## Optophysiology
::::{grid} 1 1 1 1
:::{grid-item-card} {fas}`sun;sd-text-primary` PhotonMosaic
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To match the repo

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:::{grid-item-card} {fas}`sun;sd-text-primary` PhotonMosaic
:::{grid-item-card} {fas}`sun;sd-text-primary` photon-mosaic

:link: https://github.com/neuroinformatics-unit/photon-mosaic
PhotonMosaic simplifies the analysis of multi-photon calcium imaging data by integrating algorithms from tools like Suite2p and Caiman into a modular pipeline. Researchers can evaluate, compare, and combine methods for each processing step, such as registration or source extraction, and explore metrics to identify the best fit for their datasets.
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PhotonMosaic simplifies the analysis of multi-photon calcium imaging data by integrating algorithms from tools like Suite2p and Caiman into a modular pipeline. Researchers can evaluate, compare, and combine methods for each processing step, such as registration or source extraction, and explore metrics to identify the best fit for their datasets.
PhotonMosaic simplifies the analysis of multi-photon calcium imaging data by integrating algorithms from tools like Suite2p and CaImAn into a modular pipeline. Researchers can evaluate, compare, and combine methods for each processing step, such as registration or source extraction, and explore metrics to identify the best fit for their datasets.

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PhotonMosaic simplifies the analysis of multi-photon calcium imaging data by integrating algorithms from tools like Suite2p and Caiman into a modular pipeline. Researchers can evaluate, compare, and combine methods for each processing step, such as registration or source extraction, and explore metrics to identify the best fit for their datasets.
photon-mosaic simplifies the analysis of multi-photon calcium imaging data by integrating algorithms from tools like Suite2p and Caiman into a modular pipeline. Researchers can evaluate, compare, and combine methods for each processing step, such as registration or source extraction, and explore metrics to identify the best fit for their datasets.


With support for local or cluster-based parallelization, PhotonMosaic provides visualization tools, reports, and guides to streamline decision-making and enhance reproducibility.
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With support for local or cluster-based parallelization, PhotonMosaic provides visualization tools, reports, and guides to streamline decision-making and enhance reproducibility.
With support for local or cluster-based parallelization, photon-mosaic provides visualization tools, reports, and guides to streamline decision-making and enhance reproducibility.

:::
::::

::::{grid} 1 1 1 1
:::{grid-item-card} {fas}`stroopwafel;sd-text-primary` derotation
:link: https://github.com/neuroinformatics-unit/derotation
A python library to solve sample-rotation artifacts on movies acquired with a line scanning microscope.
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A python library to solve sample-rotation artifacts on movies acquired with a line scanning microscope.
A python library to solve sample-rotation artifacts in multiphoton imaging data acquired with a line scanning microscope.

:::
::::



(projects-data-management)=
## Data Management
::::{grid} 1 1 1 1
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2 changes: 1 addition & 1 deletion docs/source/roadmaps/june-2024.md
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Expand Up @@ -19,7 +19,7 @@ longer-term goal of multimodal integration. The detailed roadmap is split into t
We have developed [NeuroBlueprint](https://neuroblueprint.neuroinformatics.dev/), a simple, standard data folder
specification for (systems) neuroscience and [datashuttle](https://datashuttle.neuroinformatics.dev/), to automate the
creation, validation and transfer of NeuroBlueprint projects. For more details on these specific projects, see the
[NeuroBlueprint](https://neuroblueprint.neuroinformatics.dev/roadmap.html) and
[NeuroBlueprint](https://neuroblueprint.neuroinformatics.dev/latest/roadmap.html) and
[datashuttle](https://datashuttle.neuroinformatics.dev/pages/community/roadmap.html) roadmaps.

**Q4 2024**
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