Name | FluoSA JSON |
Version |
0.9.4
JSON |
| download |
home_page | None |
Summary | Fluorescence Signal Analyzer for calcium imaging on user-defined neural structures. |
upload_time | 2024-04-12 02:30:42 |
maintainer | None |
docs_url | None |
author | None |
requires_python | <3.11,>=3.9 |
license | GPL-3.0 |
keywords |
fluorescence
signal
calcium
imaging
leica
confocal
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# FluoSA
Fluorescence Signal Analyzer (FluoSA) for calcium imaging on user-defined neural structures.
FluoSA inputs *.LIF files, detects user-defined neural structures, and quantifies the fluorescence signal changes (frame-wise fluorescence intensity and the dF/F0) in these structures.
<p> </p>
## Installation
### 1 Install FluoSA
```
python3 -m pip install FluoSA
```
<p> </p>
### 2 Install CUDA toolkit v11.8
https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Windows&target_arch=x86_64
<p> </p>
### 3 Install PyTorch 2.0.1
#### 3.1 For Windows and Linux
##### 3.1.1 If using GPU
```
python3 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118
```
##### 3.1.2 CPU only
```
python3 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cpu
```
#### 3.2 For Mac
```
python3 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
```
<p> </p>
### 4 Install Detectron2
```
python3 -m pip install 'git+https://github.com/facebookresearch/detectron2.git'
```
<p> </p>
## Usage
In your terminal / command prompt, type:
```
FluoSA
```
Then the user interface will be initiated:
![alt text](https://github.com/umyelab/FluoSA/blob/main/Examples/GUI.png?raw=true)
Raw data
{
"_id": null,
"home_page": null,
"name": "FluoSA",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.11,>=3.9",
"maintainer_email": null,
"keywords": "Fluorescence Signal Calcium imaging Leica confocal",
"author": null,
"author_email": "Yujia Hu <henryhu@umich.edu>",
"download_url": "https://files.pythonhosted.org/packages/dc/29/53da7b285a6408ff46b4269587ad9aae65c303b0544901718e3792de5b7d/fluosa-0.9.4.tar.gz",
"platform": null,
"description": "# FluoSA\nFluorescence Signal Analyzer (FluoSA) for calcium imaging on user-defined neural structures.\n\nFluoSA inputs *.LIF files, detects user-defined neural structures, and quantifies the fluorescence signal changes (frame-wise fluorescence intensity and the dF/F0) in these structures.\n\n<p> </p>\n\n## Installation\n### 1 Install FluoSA\n```\npython3 -m pip install FluoSA\n```\n\n<p> </p>\n\n### 2 Install CUDA toolkit v11.8\nhttps://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Windows&target_arch=x86_64\n\n<p> </p>\n\n### 3 Install PyTorch 2.0.1\n#### 3.1 For Windows and Linux\n##### 3.1.1 If using GPU\n```\npython3 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118\n```\n##### 3.1.2 CPU only\n```\npython3 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cpu\n```\n#### 3.2 For Mac\n```\npython3 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2\n```\n\n<p> </p>\n\n### 4 Install Detectron2\n```\npython3 -m pip install 'git+https://github.com/facebookresearch/detectron2.git'\n```\n\n<p> </p>\n\n## Usage\nIn your terminal / command prompt, type:\n```\nFluoSA\n```\n\nThen the user interface will be initiated:\n\n![alt text](https://github.com/umyelab/FluoSA/blob/main/Examples/GUI.png?raw=true) \n\n",
"bugtrack_url": null,
"license": "GPL-3.0",
"summary": "Fluorescence Signal Analyzer for calcium imaging on user-defined neural structures.",
"version": "0.9.4",
"project_urls": {
"Homepage": "https://github.com/umyelab/FluoSA"
},
"split_keywords": [
"fluorescence",
"signal",
"calcium",
"imaging",
"leica",
"confocal"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "f4ea1e4c5085bdc537b558742f30127dd0c27ea8e089262feec32c77bbcd4bf8",
"md5": "23b37fe51ef5458b06c7bb4415075182",
"sha256": "e0cae5ca9f3cabee8b45752b8971639b4905033550d4b34ece07bd65cd42b47e"
},
"downloads": -1,
"filename": "fluosa-0.9.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "23b37fe51ef5458b06c7bb4415075182",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.11,>=3.9",
"size": 30413,
"upload_time": "2024-04-12T02:30:40",
"upload_time_iso_8601": "2024-04-12T02:30:40.379448Z",
"url": "https://files.pythonhosted.org/packages/f4/ea/1e4c5085bdc537b558742f30127dd0c27ea8e089262feec32c77bbcd4bf8/fluosa-0.9.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "dc2953da7b285a6408ff46b4269587ad9aae65c303b0544901718e3792de5b7d",
"md5": "0e0fa7b7b732d590f07bd978a0ea0003",
"sha256": "f5b7b42c624bbf905057ba25bb24393ab167dc4c47e2a2bd5325405e97b627a9"
},
"downloads": -1,
"filename": "fluosa-0.9.4.tar.gz",
"has_sig": false,
"md5_digest": "0e0fa7b7b732d590f07bd978a0ea0003",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.11,>=3.9",
"size": 25777,
"upload_time": "2024-04-12T02:30:42",
"upload_time_iso_8601": "2024-04-12T02:30:42.068549Z",
"url": "https://files.pythonhosted.org/packages/dc/29/53da7b285a6408ff46b4269587ad9aae65c303b0544901718e3792de5b7d/fluosa-0.9.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-12 02:30:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "umyelab",
"github_project": "FluoSA",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "fluosa"
}