Sabine Brumm

@binebrumm.bsky.social

Plant Scientist; Research and Teaching Assistant in the process of establishing junior research group, Phytopathology Department TUM Freising; interested in plant microbe interactions and protein transport regulation

Our work on the mechanoresponsiveness of actin is out! While plant microtubules have been extensively studied for their role in mechanobiology, actin has very much been ignored. Here we show that actin responds to cellular deformations within minutes and observed it in Marchantia and Arabidopsis!

bioRxiv Plant Bio@biorxiv-plants.bsky.social · 3w ago

Plant actin networks are rapid mechano-adaptive scaffolds https://www.biorxiv.org/content/10.64898/2026.07.16.738884v1

#MicroscopyFriday Even fungi have attitude. 🖕🍄😅 Captured during last week's microscopy session: a powdery mildew (Blumeria hordei) haustorium inside a barley leaf cell. Stable fluorescence-expressing barley line, with the colors representing z-slice depth.

Bild

From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification | Mycorrhiza | Springer Nature Link

From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification 

Selecting an appropriate method to quantify arbuscular mycorrhizal fungi (AMF) colonization in plants can be challenging, particularly for non-experts, due to the wide diversity of available techniques, some of which date back to the 1980s. Despite rapid methodological advances, comprehensive reviews focusing specifically on recent image analysis approaches for AMF root quantification are still scarce in the scientific literature. Given the growing potential of image-based methods to improve the accuracy, reproducibility, and high throughput of AMF root colonization assessment, this review synthesizes conceptual structure and thematic map of studies focusing on AMF colonization from 2001 to 2026. In addition, we examine widely used traditional approaches, such as the gridline intersect method, and emerging tools, including Visual Basic for Application–Arbuscular Mycorrhizal Fungi (VBA-AMF), MycoPatt, WinRHIZO, ImageJ-based workflows, Zeiss Intellesis, and deep learning approaches such as Automatic Mycorrhizal Finder (AMFinder), “Tool for Analysing root images to calculate the Infection rate of arbuscular Mycorrhizal fungi” (TAIM) and Mask Region-based Convolutional Neural Network (Mask R-CNN). By critically comparing their principles, capabilities, and limitations, this review aims to guide researchers in selecting the most appropriate image analysis methods for AMF quantification according to their experimental objectives and technical constraints.

sco.lt

Fluazinam wird bei Kartoffeln gegen Kraut-& Knollenfäule eingesetzt. Eine schwere Pilzkrankheit, die den Kartoffelanbau seit Jahrhunderten beeinträchtigt. Um den Einsatz von Pflanzenschutzmitteln dabei wirklich zu reduzieren, braucht es Kartoffelsorten, die weniger anfällig für die Krankheit sind 1/

Frau Büüsker@uedio.bsky.social · last mo.

Ein in Europa breit eingesetztes Pestizid hätte wohl nie zugelassen werden dürfen www.tagesschau.de/investigativ...

What if one organism could copy itself and merge with others, weaving vast living networks? Meet the arbuscular mycorrhizal fungi 🦠 Cambridge researcher Dr Jennifer McGaley from @camplantsci has filmed these fungi in action for the very first time. Find out more 👉 https://bit.ly/4ghAynD

Fascinating story! First global map of mycorrhizal fungi reveals true scale of underground networks across the planet Mycorrhizal fungi form underground networks that sustain plant life and help regulate Earth's climate by drawing carbon into soils. phys.org/news/2026-06...

First global map of mycorrhizal fungi reveals true scale of underground networks across the planet

Mycorrhizal fungi form underground networks that sustain plant life and help regulate Earth's climate by drawing carbon into soils. In a study published in Science, an international team of researcher...

phys.org