Threshold independent detection and localization of diffraction-limited spots.
Project description
In biomedical microscopy data, a common task involves the detection of diffraction-limited spots that
visualize single proteins, domains, mRNAs, and many more. These spots were traditionally detected with
mathematical operators such as Laplacian of Gaussian. These operators, however, rely on human input ranging
from image-intensity thresholds, approximative spot sizes, etc. This process is tedious and not always
reliable.
DeepBlink relies on neural networks to automatically find spots without the need for human
intervention. DeepBlink is available as a ready-to-use command-line interface.
All deepBlink wheels distributed on PyPI are MIT licensed.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
deepblink-0.1.4.tar.gz
(45.8 kB
view details)
File details
Details for the file deepblink-0.1.4.tar.gz
.
File metadata
- Download URL: deepblink-0.1.4.tar.gz
- Upload date:
- Size: 45.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cbebd1ee0b285a990b4ad4e13325d97a1a55f6d760817262548a32989de6b009 |
|
MD5 | 24ede6172f7fdf58e23826c9dccfa553 |
|
BLAKE2b-256 | cb082acef23ea70831e5ce7b4d39ca706bdd6b94a9e99a9924b7c86a17c485a4 |