Automatic Cell Detection
AutoCellDetect is a library for automatically identifying and characterizing cells for microscopic or AFM images.
Key Features
- Automatically detects cells in an image or cells next to red labels
- Annotate and save image file with identified cells
- Find cell characteristics: center, average diameter, perimeter, area, aspect ratio, circularity, cell intensity etc
- Outputs cell characteristics on an excel file
- Find resize factor based on an image
Installation
Use package manager pip to install
pip install autoCellDetect
Release files for AutoCellDetect 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autocelldetect-0.1.0.tar.gz | 20.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| AutoCellDetect-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.1 kB
Release files / autocelldetect-0.1.0.tar.gz
| Download URL | autocelldetect-0.1.0.tar.gz |
|---|---|
| Size | 20.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.1
|
Release files / AutoCellDetect-0.1.0-py3-none-any.whl
| Download URL | AutoCellDetect-0.1.0-py3-none-any.whl |
|---|---|
| Size | 21.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
40bb2f7e68aa7e8253f5bd498f796880e2410474875b416e7566801440ad7104
|
|
BLAKE2b-256 checksum How to use checksums |
5abe3a221e9dbe1a69755b9fb3a2f2a14fdb3893ad2ad159ed3dd497a55cbf43
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.1
|