The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods.

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge-Base is modeled after efforts in the open-source software community and includes three facets: a development platform (GitHub), static website, and service for data archiving. The Knowledge-Base facilitates the practice of open science throughout the research life cycle by providing validation data for recommended and non-recommended reagents, e.

Design and implementation of a multicenter protocol to obtain impulse oscillometry data in preterm children.

Importance: Objective measures of lung function are critical for assessing respiratory outcomes of prematurity. Among extremely low gestational age neonates (ELGANs) (< 29 weeks gestational age), high rates of neurodevelopmental impairment may interfere with lung function testing. Impulse oscillometry (IOS) is a noninvasive test of respiratory system mechanics not requiring forced expiration.

Airway Remodeling in Cystic Fibrosis Is Heterogeneous.

RATIONALE+OBJECTIVE/ Cystic fibrosis (CF) is characterized by bronchiectasis on imaging, while functionally evolving towards obstructive impairment. Despite its assumed importance in CF, small airway remodeling and its relation to bronchiectasis, is still poorly understood. METHOD/ On high-resolution computed tomography (HRCT, 600µm, CF=21, control=6) and micro-computed tomography (µCT, 150µm, CF=3, control=1) scans of inflated explant lungs, AV% (airway/total lung volume) was calculated as marker for bronchiectasis, while airway segmentation was used for generation analysis.

Predicting lung aging using scRNA-Seq data.

Age prediction based on single cell RNA-Sequencing data (scRNA-Seq) can provide information for patients' susceptibility to various diseases and conditions. In addition, such analysis can be used to identify aging related genes and pathways. To enable age prediction based on scRNA-Seq data, we developed PolyEN, a new regression model which learns continuous representation for expression over time.