Image Analysis
Welcome to the Image Analysis section of the Ad-Astra-Analysis-Suite. Here you can upload and analyze your images using various tools and techniques. Use the navigation menu to access different image analysis features.
Available Tools
- Simple Flux Analysis (Steps 1.1 & 2.1) — Measure aperture flux with annular background subtraction; reports BG mean, BG RMS, SNR, and Hounsfield Unit statistics for CT images.
- Aperture & ROI Intensity Profiling (Step 2.2) — Plot intensity vs. aperture radius (growth curve) and intensity profiles along user-drawn lines; identifies the optimal aperture radius at 95% encircled energy.
- Object / Cell / Structure Detection (Step 3.1) — Threshold-based segmentation (Otsu, N-sigma, manual) with optional watershed splitting; generates an annotated detection image and a downloadable source catalog (position, area, flux, SNR).
- PSF / OTF Analysis (Step 3.2) — Click a point source or resolution bead on the image; fits a 2D Gaussian to report FWHM (X & Y), ellipticity, position angle, amplitude, and a radial profile with Gaussian model overlay.
- Multi-Channel & Color Analysis (Step 4.1) — Upload 1–4 single-channel images and assign pseudo-colours (red, green, blue, cyan, magenta, yellow); compose RGB overlays; compute Pearson and Manders co-localization coefficients; generate channel ratio and difference maps.
- Image Statistics & Visualization (Step 4.2) — Pixel histogram with 5 stretch modes (linear, log, sqrt, asinh, gamma); drag-to-select ROI statistics (min, max, mean, median, std, integrated intensity); percentile-based contour overlay; morphology metrics (circularity, eccentricity, MFI) with object table; export CSV.
- Biological Quantification & Morphometrics (Step 5.1) — Detailed per-object measurements: equivalent diameter, Feret diameter, perimeter, circularity, eccentricity, volume estimate, MFI per channel; co-localization scatter plot (Pearson/ Manders); CT bone density and HU calibration; morphometric CSV export.
- Time-Series & Z-Stack Analysis (Step 5.2) — Load and navigate multi-frame TIFF / FITS stacks; Z/T projections (max, sum, average, std); kymograph along a user-drawn line; nearest-neighbour object tracker with intensity-vs-time traces and migration speed; export track and kymograph CSV.
- Engineering & Materials Inspection (Step 6.1) — Edge / defect detection via gradient thresholding and connected-component labelling; surface roughness metrics Ra, Rq, Rz; thermal hot-spot mapping with Plotly profile chart and defect data table.
- Frequency-Domain & Texture Analysis (Step 6.2) — 2D FFT with log-magnitude visualisation and radial power spectral density; bandpass / notch / lowpass / highpass Fourier filtering; Grey-Level Co-occurrence Matrix (GLCM) with contrast, homogeneity, energy, correlation, and entropy.
- Shape, Topology & Symmetry Analysis (Step 7.1) — N-fold rotational and mirror symmetry scoring; Euler number and hole count; convex-hull area and solidity; distance-transform skeletonisation with branch/end-point detection; symmetry bar chart and skeleton overlay.
- Fractal & Multi-Scale Analysis (Step 7.2) — Box-counting fractal dimension with log–log regression chart; lacunarity at multiple scales; 2-level Haar discrete wavelet transform energy for LL / HL / LH / HH sub-bands; CSV export.
- Colour & Pigment Analysis (Step 8.1) — CIE L*a*b* k-means dominant colour palette; L*, a*, b* and HSL histograms; ΔE pigment-library matching against 15 historic pigments (lapis lazuli, vermilion, lead white, etc.); palette and match CSV export.
- Brushstroke, Texture & Art Analysis (Step 8.2) — Gradient-based stroke orientation colour map and weighted histogram; Gabor filter-bank energy (4 orientations × 2 frequencies); craquelure crack detection with pattern classification; tile-based statistical anomaly mapping.