ArticleEngineering in life sciences2017
A smart device application for the automated determination of
Article in Engineering in life sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 34 citations in OpenAlex.
- Dietary Probiotic and Enzyme Supplementation Enhances Growth Performance, Digestive Function, and Immune Response in Penaeus vannamei.Marine biotechnology (New York, N.Y.) · 2026Article
- Effectiveness of Three Rotary File Systems on Enterococcus Faecalis in Single Rooted Teeth: An In Vitro Study.European endodontic journal · 2025Article
- Digitalization concepts in academic bioprocess development.Engineering in life sciences · 2024Review
- Evaluation of an Automated System for the Counting of Microbial Colonies.Microbiology spectrum · 2023Article
- Methods to monitor bacterial growth and replicative rates at the single-cell level.FEMS microbiology reviews · 2022Review
- Image Analysis Semi-Automatic System for Colony-Forming-Unit Counting.Bioengineering (Basel, Switzerland) · 2022Article
- Human-Device Interaction in the Life Science Laboratory.Advances in biochemical engineering/biotechnology · 2022Article
- A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.Artificial intelligence review · 2022Article
- Efficient microbial colony growth dynamics quantification with ColTapp, an automated image analysis application.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The manual counting of colonies on agar plates to estimate the number of viable organisms (so-called colony-forming units-CFUs) in a defined sample is a commonly used method in microbiological laboratories. The automation of this arduous and time-consuming process through benchtop devices with integrated image processing capability addresses the need for faster and higher sample throughput and more accuracy. While benchtop colony counter solutions are often bulky and expensive, we investigated a cost-effective way to automate the colony counting process with smart devices using their inbuilt camera features and a server-based image processing algorithm. The performance of the developed solution is compared to a commercially available smartphone colony counter app and the manual counts of two scientists trained in biological experiments. The comparisons show a high accuracy of the presented system and demonstrate the potential of smart devices to displace well-established laboratory equipment.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.