動物が見ている色の世界を捉える新しいビデオカメラシステム(New video camera system captures the coloured world that animals see)

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2024-01-25 サセックス大学

◆サセックス大学と米国ジョージ・メイソン大学の研究者らが開発した新しいカメラシステムは、動物が自然な環境で見る色を再現することができます。このシステムは青、緑、赤、およびUVの4つの色チャンネルで同時に動画を記録し、動物の目の光受容体に基づいて実際の色を再現します。
◆新システムは既存の手法よりも92%以上の精度で知覚色を予測し、動物の動的で正確な色覚を捉え、科学者や映画製作者に新しい研究や制作の可能性を提供します。

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新しいカメラシステムとソフトウェアパッケージを用いた自然界の動物視点映像の記録 Recording animal-view videos of the natural world using a novel camera system and software package

Vera Vasas,Mark C. Lowell,Juliana Villa,Quentin D. Jamison,Anna G. Siegle,Pavan Kumar Reddy Katta,Pushyami Bhagavathula,Peter G. Kevan,Drew Fulton,Neil Losin,David Kepplinger,Michael K. Yetzbacher,Shakiba Salehian,Rebecca E. Forkner,Daniel Hanley
PLOS Biology
  Published: January 23, 2024
DOI:https://doi.org/10.1371/journal.pbio.3002444

動物が見ている色の世界を捉える新しいビデオカメラシステム(New video camera system captures the coloured world that animals see)

Abstract

Plants, animals, and fungi display a rich tapestry of colors. Animals, in particular, use colors in dynamic displays performed in spatially complex environments. Although current approaches for studying colors are objective and repeatable, they miss the temporal variation of color signals entirely. Here, we introduce hardware and software that provide ecologists and filmmakers the ability to accurately record animal-perceived colors in motion. Specifically, our Python codes transform photos or videos into perceivable units (quantum catches) for animals of known photoreceptor sensitivity. The plans and codes necessary for end-users to capture animal-view videos are all open source and publicly available to encourage continual community development. The camera system and the associated software package will allow ecologists to investigate how animals use colors in dynamic behavioral displays, the ways natural illumination alters perceived colors, and other questions that remained unaddressed until now due to a lack of suitable tools. Finally, it provides scientists and filmmakers with a new, empirically grounded approach for depicting the perceptual worlds of nonhuman animals.

生物工学一般
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