Results 221 to 230 of about 120,788 (312)
PlantCV v4: Image analysis software for high‐throughput plant phenotyping
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl +61 more
wiley +1 more source
Herpesviridae Reactivation and Therapeutic Outcomes in Patients with Ulcerative Colitis Treated with Tofacitinib. [PDF]
Harnik S +13 more
europepmc +1 more source
A systematic color correction pipeline for controlled‐environment imaging
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
Convergence of Cerebrospinal Fluid Neuronal Biomarker Burden and MRI Lesion Pattern and Its Association With Short-Term Outcome in Neuroinfectious Diseases. [PDF]
D'Anna L +18 more
europepmc +1 more source
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman +4 more
wiley +1 more source
Syncytium-forming HSV-1 in cancer gene therapy: From molecular mechanisms to clinical translation. [PDF]
Zhao X +7 more
europepmc +1 more source
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash +9 more
wiley +1 more source
High‐throughput image‐based phenotyping of soybean hilum color
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune +2 more
wiley +1 more source

