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Louison Blivet-Bailly

Publications and source records attributed to Louison Blivet-Bailly.

2 recordsLinked to original sources

One-step decellularization of porcine uterine tissue for developing alginate-decellularized uterine ECM hydrogel for uterine tissue engineering

Decellularized uterine extracellular matrix (dUECM) is promising for uterine tissue engineering because of its inherent bioactivity and structural complexity. However, transforming dUECM into porous, functional 3D constructs remains challenging. This study aimed to (1) synthesize dUECM using a modified decellularization protocol and formulate it into a hydrogel ink, and (2) fabricate 3D-printed constructs to support human uterine myometrial cell growth in vitro. Porcine uterine tissues were decellularized using 1% Triton X-100 with varying concentrations of sodium dodecyl sulfate (SDS) (0.1-1.5%) for 48-72 h. The resulting dUECM was characterized using DNA and glycosaminoglycan (GAG) quantification, Picrosirius Red-polarized light microscopy, histology, scanning electron microscopy, FTIR, Raman spectroscopy, and thermogravimetric analysis. To prepare the ink, dUECM powder was enzymatically digested with pepsin and blended with 2% and 3% alginate. Constructs were fabricated using extrusion-based 3D printing and assessed for filament fidelity, swelling, degradation, and mechanical properties. Biocompatibility was evaluated using hTERT-HM myometrial cells through MTT assays, Live/Dead staining, and alpha-SMA immunohistochemistry. The optimal protocol (1% Triton X-100 + 1% SDS for 48 h) reduced DNA to 51.3 +/- 9 ng/mg while retaining high GAGs (54.9 +/- 7.6 ug/mg). Preservation of the ECM structure was confirmed by spectroscopy. The 3% Alg + 1.5% dUECM hydrogel exhibited suitable printability (1.5 +/- 0.2), swelling (47 +/- 12%), degradation resistance (94 +/- 18% mass retention), and mechanical strength (323 to 175 kPa over 14 days), with high viability and proliferation (258 +/- 13%). The developed dUECM-based hydrogel supports 3D bioprinting with strong mechanical and biological performance, offering a promising platform for uterine tissue engineering.

q-bio.TO

Log Focal Frequency Loss for Bioimage Restoration

Image restoration of biological structures in microscopy poses unique challenges for preserving fine textures and sharp edges. While recent GAN-based image restoration formulations have introduced frequency-domain losses for natural images, microscopy images pose distinct challenges with large dynamic ranges and sparse but critical structures with spatially-variable contrast. Inspired by the principle of logarithmic perception in human vision, we propose a log focal frequency loss (LFFL) tailored for microscopy restoration. This loss combines adaptive spectral weighting from log-space differences with log-dampened error measurement, ensuring balanced reconstruction across all frequency bands while preserving both structural coherence and fine details. We tested our GAN-based framework on two use-cases with real ground-truths: deblurring of fluorescence images of cell nuclei on microgroove substrates and denoising of zebrafish embryo images from the FMD dataset. Compared to training with only spatial-domain losses and with existing frequency-domain losses, our method achieves improvements across several quality metrics. Code is available at github.com/xjzhaang/log-focal-frequency-loss.

q-bio.QM