What Research Applications Does MBF Bioscience Support?

Updated

MBF Bioscience builds quantitative imaging software and systems for six main research areas: stereology, neuron reconstruction, vascular analysis, C. elegans behavior analysis, light sheet microscopy, and medical education. If your work requires counting cells without bias, tracing neural morphology, measuring vessel structure, or tracking worm behavior automatically, these tools are aimed at your workflow. The sections below describe what each application does and what kind of research question it fits.

Stereology: unbiased cell counting and tissue quantification

Stereology is a set of sampling methods that estimate 3D quantities — cell number, volume, length — from 2D tissue sections without assuming cell shape or size. That assumption-free property is what "unbiased" means here: you don't need to correct for split cells or guess at geometry.

Typical questions this answers:

  • How many neurons are in this region, across animals or conditions?
  • Did a treatment change cell density or regional volume?
  • What is the total length of a fiber population in a given structure?

It suits neuroscience, toxicology, and any histology study where a raw count from a few sections would be misleading.

Neuron reconstruction: tracing and rebuilding neural morphology

Neuron reconstruction covers tracing dendrites and axons through image stacks to produce a digital model of a cell, then quantifying branching, length, and spine density from that model.

Use it when your question depends on shape rather than just presence:

  • Do dendrites branch differently in a disease model versus control?
  • How does spine density change after a learning task?
  • Can you compare morphology across cells in a consistent, measurable way?

The output is a traced structure plus derived measurements, which is what makes cross-cell and cross-group comparison possible.

Vascular analysis: quantifying vessel structure and density

Vascular analysis applies the same quantitative logic to blood vessels — measuring vessel density, branching, length, and diameter from labeled images.

Relevant questions include:

  • How does capillary density differ between brain regions?
  • Did an intervention change vessel branching or tortuosity?
  • What is the vessel volume fraction in a tissue sample?

This matters in stroke, tumor, and neurodegeneration research, where vessel changes are often subtle and need measurement rather than visual impression.

C. elegans behavior analysis: automated tracking

C. elegans behavior analysis automates tracking and quantifying worm movement, so behavior becomes a measured variable instead of a manually scored one.

It fits questions like:

  • Does a genetic mutation alter locomotion or turning behavior?
  • Did a drug exposure change movement patterns?
  • Can you screen many animals and get consistent behavioral metrics?

Automation is the point: manual scoring doesn't scale to large screens and introduces observer variability.

Light sheet microscopy: SLICE

MBF Bioscience describes SLICE as "the new standard in light sheet microscopy." Light sheet imaging captures whole cleared samples — whole brains, embryos, large tissue volumes — at high speed with low photobleaching, which is what makes it practical for samples too large for conventional sectioning.

Pair it with the quantification tools above when you need to count or trace across an entire intact specimen rather than sampled sections.

Medical education: Biolucida for online anatomy learning

Biolucida supports online anatomy learning. A study published in JMIR Medical Education found that medical students achieved comparable short-term learning outcomes whether they attended a [in-person or online session]. This is relevant if you're building or evaluating a remote anatomy curriculum and need a platform for viewing and annotating digital slides.

Matching your question to the right application

Your research question Application
How many cells in this region, without bias? Stereology
How does this neuron's shape differ between groups? Neuron reconstruction
How dense or branched are the vessels here? Vascular analysis
Does this mutation change worm movement? C. elegans behavior analysis
How do I image a whole cleared brain? Light sheet microscopy (SLICE)
How do students learn anatomy online? Medical education (Biolucida)

The common thread is quantification: each tool turns an image into a number or a model you can compare across samples. If your question is "how much" or "what shape" rather than "is it there," one of these applications is likely the fit.