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Acacia Pollen Grain 3D Model – Detailed SEM-Style Visualization, FBX
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Acacia Pollen Grain 3D Model – Detailed SEM-Style Visualization, FBX

by vortiko
$34.8

File Formats

Native Format

.max
V-Ray | 2023 • 3.08 MB

Exchange Formats

.obj.autodesk fbx.jpg.exr

Features

File & scene

Binary FBX No unsupported objects

Geometry

No N-gons No faceted geometry Manifold geometry Polygon mesh

Textures & material

PBR textures No embed textures Square textures Power of 2 texture sizes Assigned materials

UVs & naming

No UV overlaps UV unwrapped model Allowed characters

3D Features

PBR Materials UV Mapping Plugins Used

Unwrapped UVs

Non-overlapping

Download information

After purchase, you will receive an email within several hours with a download link to access your files.

Description

Discover the intricacies of Acacia binervia pollen with this highly detailed 3D model, perfect for scientific visualization and SEM-style rendering.

Designed to replicate the authentic morphology observed in scanning electron microscopy, this model captures the unique spheroidal shape, surface ornamentation, and symmetrical structure of Acacia pollen. Its clean geometry and textures allow for seamless integration into educational, medical, and scientific contexts, offering a reliable foundation for further artistic endeavors.

  • Formats: FBX, OBJ
  • PBR texture set included for versatile rendering workflows
  • UV unwrapped with non-overlapping UVs
  • Optimized topology suitable for extreme macro close-ups
  • Clean and neutral textures for full control over lighting and materials
  • No N-gons or faceted geometry, ensuring a smooth finish

This asset is ideal for researchers, illustrators, educators, and visualization studios focused on microscopy-inspired imagery. Its high-quality, species-specific pollen geometry is a rare find in commercial marketplaces.

Download this scientifically accurate Acacia pollen 3D model today!

Tags

acaciabiologybotanycelleducationmacromedicalmicroscopynatureorganicotherplantpollenrenderingsciencescientificvisualization