Word Computational Screening of Green Color Colonies from Petri Dish through Python Tool GD.A1.
Clicks: 1
ID: 312914
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #434 of 705 articles by views in Journal of Computing & Biomedical Informatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The digital image processing and deep learning techniques are considerably applied in the field of microbiology, and it has a countless perspective. Counting microorganism colonies in petri dishes through the necked eye is a time-consuming and slow process. Therefore, the need for a colony enumeration system that counts all colonies and also discriminates against green colonies is the key concern. Counting only green colour in cell profiler through the image processing method is wide area of interest in micro biological estimation, so in Python, a simple algorithm is frim-up to aid in visual discrimination. Thus, it can be concluded that enumeration of microorganisms can be performed automatically and reliably and become easier with the developed GD.A1 software. The acceptable result is 95.1 percent confidence interval.
| Reference Key |
imported_1777057772_69ebbfec23058
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Muhammad Aziz, Nazima Yousaf Khan |
| Journal | Journal of Computing & Biomedical Informatics |
| Year | 2024 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.