10x vs 20x Brain Slice Imaging: Accuracy vs Coverage
20x gives higher accuracy, but 10x can cover far more brain area in the same acquisition time. The right choice changes the scope of the study.
Pascal Dufour, PhD7 min read
Featured PostDAPI vs Marker-Based Cell Counting
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DAPI vs Marker-Based Cell Counting
What You Can Measure Without a Nuclear Stain
NeuroQP now supports marker-based cell counting when DAPI is missing. Here is what that workflow can measure, and where DAPI remains better.
PD
Pascal Dufour, PhD
NeuroQP Editorial • 9 min read
Cell Detection For DAPI Brain Slices: Options, Tradeoffs, And What Worked For Us
A practical, opinionated look at cell detection for DAPI brain slices, from FIJI workflows to modern algorithms and what actually worked for NeuroQP.
Pascal Dufour, PhD9 min read
Why We Are Building NeuroQP: The Missing End-to-End Workflow for Brain Slice Analysis
Neuroscience has strong algorithms, but most labs still lack usable brain slice analysis software that connects registration, cell detection, classification, and statistics.
Pascal Dufour, PhD9 min read
Automated DAPI Cell Counting for Mouse Brain Slices: The Count Is Not The Hard Part
Automated DAPI cell counting is not just about detecting nuclei. The real value is a workflow that survives real mouse brain slice datasets.
Pascal Dufour, PhD7 min read
Mouse Brain Atlas Registration: Solve Anatomy on the Whole Slice
Mouse brain atlas registration works best on the 4x whole-slice image, where anatomical context is visible, then carries into 10x or 20x quantification.
Pascal Dufour, PhD7 min read