ArticlePLoS computational biology2019
Fungal feature tracker (FFT): A tool for quantitatively characterizing the morphology and growth of filamentous fungi.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A Mycelium Dataset with Edge-Precise Annotation for Semantic Segmentation.Scientific data · 2025Article
- Isothermal microcalorimetry analysis of microencapsulated Yamadazyma mexicana LPa14: release and antifungal activity against Colletotrichum gloeosporioides.Archives of microbiology · 2025Article
- Full identification of a growing and branching network's spatio-temporal structures.Biophysical journal · 2025Article
- The nematode-trapping fungus Arthrobotrys oligospora detects prey pheromones via G protein-coupled receptors.Nature microbiology · 2024Article
- Inferring fungal growth rates from optical density data.PLoS computational biology · 2024Article
- Article
- Key processes required for the different stages of fungal carnivory by a nematode-trapping fungus.PLoS biology · 2023Article
- Prediction and experimental evidence of different growth phases of the Podospora anserina hyphal network.Scientific reports · 2023Article
- Optimal culture conditions ofPlant biotechnology (Tokyo, Japan) · 2023Article
- The cAMP-PKA pathway regulates prey sensing and trap morphogenesis in the nematode-trapping fungus Arthrobotrys oligospora.G3 (Bethesda, Md.) · 2022Article
- Network traits predict ecological strategies in fungi.ISME communications · 2022Article
- Morphological growth pattern of Phanerochaete chrysosporium cultivated on different Miscanthus x giganteus biomass fractions.BMC microbiology · 2021Article
- A fully automated pipeline for the dynamic at-line morphology analysis of microscale Aspergillus cultivation.Fungal biology and biotechnology · 2021Article
- Prey sensing and response in a nematode-trapping fungus is governed by the MAPK pheromone response pathway.Genetics · 2021Article
- A workflow for low-cost automated image analysis of myxomycete spore numbers, size and shape.PeerJ · 2021Article
- Insights into the morphology-productivity relationship of filamentous fungi through small-scale cultivation and automated microscopy of Thermothelomyces thermophilus.Biotechnology progressArticle
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Filamentous fungi are ubiquitous in nature and serve as important biological models in various scientific fields including genetics, cell biology, ecology, evolution, and chemistry. A significant obstacle in studying filamentous fungi is the lack of tools for characterizing their growth and morphology in an efficient and quantitative manner. Consequently, assessments of the growth of filamentous fungi are often subjective and imprecise. In order to remedy this problem, we developed Fungal Feature Tracker (FFT), a user-friendly software comprised of different image analysis tools to automatically quantify different fungal characteristics, such as spore number, spore morphology, and measurements of total length, number of hyphal tips and the area covered by the mycelium. In addition, FFT can recognize and quantify specialized structures such as the traps generated by nematode-trapping fungi, which could be tuned to quantify other distinctive fungal structures in different fungi. We present a detailed characterization and comparison of a few fungal species as a case study to demonstrate the capabilities and potential of our software. Using FFT, we were able to quantify various features at strain and species level, such as mycelial growth over time and the length and width of spores, which would be difficult to track using classical approaches. In summary, FFT is a powerful tool that enables quantitative measurements of fungal features and growth, allowing objective and precise characterization of fungal phenotypes.
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