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Daniel J. Aneshansley

Researcher at Cornell University

Publications -  80
Citations -  3433

Daniel J. Aneshansley is an academic researcher from Cornell University. The author has contributed to research in topics: Bombardier beetle & Catalysis. The author has an hindex of 27, co-authored 80 publications receiving 3199 citations. Previous affiliations of Daniel J. Aneshansley include United States Department of Agriculture.

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Three-Dimensional Root Phenotyping with a Novel Imaging and Software Platform

TL;DR: A novel imaging and software platform was developed for the high-throughput phenotyping of three-dimensional root traits during seedling development and will facilitate novel investigations into the development of entire root systems or selected components of root systems.

Three-Dimensional Root Phenotyping with a Novel Imaging and Software Platform 1(C)(W)(OA)

TL;DR: In this paper, a novel imaging and software platform was developed for the high-throughput phenotyping of three-dimensional root traits during seedling development, which can facilitate novel investigations into the development of entire root systems or selected components of root systems.
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Defense by foot adhesion in a beetle (Hemisphaerota cyanea)

TL;DR: The beetle Hemisphaerota cyanea (Chrysomelidae; Cassidinae) responds to disturbance by activating a tarsal adhesion mechanism by which it secures a hold on the substrate.
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Ultraviolet Reflection of a Male Butterfly: Interference Color Caused by Thin-Layer Elaboration of Wing Scales

TL;DR: The male of the butterfly Eurema lisa, like many other members of the family Pieridae, reflect ultraviolet light, but the female lacks such scales and is consequently nonreflectant.
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High‐throughput two‐dimensional root system phenotyping platform facilitates genetic analysis of root growth and development

TL;DR: The RootReader2D as mentioned in this paper is a custom phenotyping platform designed to capture images of whole root systems, and novel software tools were developed to process and analyse these images.