Warm welcome to Farangis Faroughi, the next speaker in the MAX4Life Talk Series!
The MAX4Life series highlights innovative and impactful Life Science research through engaging one-hour long talks, followed by Q&A and informal mingling with the MAX IV community. The talk is open to anyone irrespective of affiliation.
Talk Title: Low-Dose In Vivo Lung Imaging Using X-ray Multiple-Image Radiography (MIR): Bridging MIR with Histology.
Farangis will outline recent progress in applying MIR for quantitative, low-dose in vivo lung imaging, supported by developments in the new MIR2 analysis framework.
Time & Date:13:00 to 13:45 on Thursday, December 4
Location: meeting room MAX III, MAX IV Laboratory
External participants who wish to attend physically can register via the Indico link. Please use the Zoom link if attending remotely.
Abstract:
Low-Dose In Vivo Lung Imaging Using X-ray Multiple-Image Radiography (MIR): Bridging MIR with Histology.
Farangis Faroughi — Mid Sweden University
Multiple-Image Radiography (MIR) is a phase-contrast X-ray technique that simultaneously provides absorption, refraction, and ultra-small-angle scattering (USAXS) information, offering exceptional sensitivity to microscopic variations in soft tissue. This presentation outlines recent progress in applying MIR for quantitative, low-dose in vivo lung imaging, supported by developments in the new MIR2 analysis framework.
MIR2 introduces an integrated angular calibration based on the dynamical theory of diffraction, combined with pixel-wise Gaussian fitting of object and reference datasets processed independently. This approach eliminates the need for normalization, mitigates alignment artifacts, and enables more robust and reproducible extraction of MIR contrast channels.
Using MIR at the BMIT beamline of the Canadian Light Source, a live mouse lung was imaged. The results demonstrate clear visualization of lung microstructure with reduced artifacts and enhanced signal stability across stitched fields of view.
The talk will further explore ongoing work on bridging MIR with histology, aiming to model how air–tissue interface density governs MIR-derived contrasts. This correlation provides a path toward quantitative interpretation of MIR data and establishes MIR as a non-destructive, low-dose imaging method for assessing lung health and microstructure.