Lightwave 3d
Lightwave 3d - Related Videos
07:58
Invasion Assay Using 3D Matrices
0 Views •
2023
The extracellular matrix (ECM) is a network of molecules that provide a structural framework for cells and tissues and helps facilitate intercellular communication. Three-dimensional cell culture techniques have been developed to more accurately model this extracellular environment for in vitro study. While many cell processes during migration through 3D matrices are similar to those required for movement across rigid 2D surfaces, including adherence, migration through ECM also requires cells...
10:24
Preparation of 3D Collagen Gels and Microchannels for the Study of 3D Interactions In Vivo
0 Views •
Cited by 16 •
2016
Collagen is a core component of the ECM, and provides essential cues for several cellular processes ranging from migration to differentiation and proliferation. Provided here is a protocol for embedding cells within 3D collagen hydrogels, and a more advanced technique for generating randomized or aligned collagen matrices using PDMS microchannels.
09:17
3D Printing of Biomolecular Models for Research and Pedagogy
0 Views •
Cited by 29 •
2017
Physical models of biomolecules can facilitate an understanding of their structure-function for the researcher, aid in communication between researchers, and serve as an educational tool in pedagogical endeavors. Here, we provide detailed guidance for the 3D printing of accurate models of biomolecules using fused filament fabrication desktop 3D printers.
06:39
Generation of Tissue Spheroids via a 3D Printed Stamp-Like Device
0 Views •
Cited by 2 •
2022
The present protocol describes a technique to produce tissue spheroids on a large scale cost-effectively using a 3D printed stamp-like device.
13:55
Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
0 Views •
Cited by 35 •
2013
Here we describe a protocol for simultaneous detection of histone modifications by immunofluorescence and DNA sequences by DNA FISH followed by 3D microscopy and analyses (3D immuno-DNA FISH).
FAQs
Each component contributes a different layer to the biological scene. Polygonal or spline-based modeling establishes the form, surface materials distinguish visible properties, virtual lighting controls how structures are revealed, and the camera determines the viewer’s perspective. Coordinating these elements helps present cells, tissues, organisms, or procedures with clearer spatial relationships and visual emphasis.
The modeling approach determines how a biological structure is represented before materials, lighting, or animation are added. Polygonal and spline-based methods provide different ways to construct the geometry of a scene, allowing the visualization workflow to accommodate varied structural forms. This choice affects how clearly complex biological shapes can be organized and communicated.
Rendering converts the assembled scene data into a finished image or sequence. It brings together the modeled geometry, surface materials, virtual lighting, camera position, and any animation into a viewable result. For biology, this stage produces the visual output used to explain structures, demonstrate changes over time, or present spatial relationships more clearly than scene data alone.
Keyframe animation establishes selected points in a sequence so that changes can be represented over time. In a biological visualization, this can help communicate dynamic concepts, laboratory procedures, or changing spatial relationships rather than showing only one static arrangement. The resulting image sequence can make temporal aspects of a process easier for viewers to follow.
A practical workflow begins by constructing the relevant geometry with polygonal or spline-based modeling. The creator then assigns surface materials, arranges virtual lighting, sets the camera, and adds keyframe animation when motion or procedural change must be shown. Rendering completes the workflow by converting the prepared scene into images or an image sequence for communication.
It is useful when a biological idea depends on three-dimensional form, viewpoint, or change over time. Visualizations can represent cells, tissues, organisms, laboratory procedures, and relationships among structures that static diagrams may not communicate effectively. These outputs support teaching, scientific communication, and research presentations by making complex visual information easier to understand.