Search bioRxiv⌕ Search

Biology subjects

Lovric, G.

Publications and source records attributed to Lovric, G..

2 recordsLinked to original sources

The Effects of Physical Exercise on Osteocyte Lacunar Morphology and Orientation around Bioresorbable Implants

In this study, we used synchrotron radiation micro-computed tomography (SR-CT) to investigate the effect of early post-operative physical exercise at 2, 4, and 6 weeks on osteocyte lacunar distribution and morphology in a Sprague Dawley rat femoral defect model after implantation of a bioresorbable pin. Physical exercise has been shown to improve bone remodeling after fracture, but its effects on the lacuno-canalicular network in the presence of bioresorbable implants remain unclear. The structure of lacunae is linked to that of osteocytes, which play an important role in bone remodeling and adaptation to stress. We studied a large number of lacunae (around 670 000 per sample) in terms of their location, morphology, and orientation. We show that in newly formed bone, lacunae are larger and rounder with exercise, while in previously existing bone, lacunae are less oriented along the long bone axis when exercise is performed. In addition, close to the implant, lacunar density is higher with exercise in both newly formed bone and previously existing bone. These findings point to a higher degree of remodeling and a pronounced lacunar response to mechanical stimulation and may thus help clarify bone behavior with exercise around implants to better design post-surgical recovery treatments.

bioengineering↗

Histology-guided 3D virtual staining of microCT-imaged lung tissue via deep learning

Histologically stained tissue sections are considered the gold standard for studying microscopic anatomy and diagnosing disease in clinical practice. However, the processes of sectioning and staining are laborious, and the overall method relies on two-dimensional (2D) analysis. In contrast, X-ray-based virtual histology offers the advantage of virtual sectioning while retaining the full three-dimensional (3D) volumetric representation of the tissue. Nevertheless, its grayscale nature has prevented it to be readily utilized by pathologists who are accustomed to conventional histological stains. In this work, we present a histology-guided enhancement platform that can integrate the 3D information provided by synchrotron radiation phase-contrast microCT with the rich visual features characteristic of histological stains. We introduce a multi-stage microCT-histology co-registration method combined with a virtual staining deep neural network and demonstrate successful virtual histological staining of microCT human and mouse lung tissue that closely resembles standard histology. We evaluate our strategy on multiple histological stains and apply it to identify 3D collagen-based remodeling of pulmonary arteries in patients with pulmonary hypertension. Overall, this innovative enhancement pipeline has the potential to aid in the incorporation of microCT into clinical practice, and advance non-destructive 3D pathology for improved diagnostic efficiency and accuracy.

pathology↗