Christopher S. Jetter

AlveolEye improves lung morphometry by using computer vision to rapidly and reproducibly calculate MLI and ASVD from H&E images, reducing variability and increasing precision across observers.

This paper creates a spatial transcriptomic atlas of acute neonatal lung injury across development and disease severity using 1.2 million cells from 17 human infant lungs.

The paper identifies loss of semaphorin signaling and reduced FOXF1 expression in BPD and BPD+PH using single-cell RNA sequencing and validates findings in a murine model.

The paper observes alveoli formation through epithelial outgrowth and mesenchymal rings in live lung slices, challenging the existing model of airspace subdivision.

The paper constructs a single-cell RNA sequencing atlas of lung development in mice, revealing cellular dynamics and transcriptional changes during the saccular to alveolar transition.

The paper identifies TMPRSS2 expression patterns in developing lungs and links them to SARS-CoV-2 infection susceptibility in different age groups.

Single-cell RNA-sequencing identifies distinct epithelial and mesenchymal cell types and their roles in pulmonary fibrosis.