A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts.

Area of Science:

• Developmental biology
• Biophysics
• Cell biology

Background:

• Cellular sheets dynamically fold during morphogenesis to create functional biological forms.
• Understanding the mechanical forces and morphological changes is crucial for deciphering developmental processes.

Purpose of the Study:

• To develop an image-based quantitative morphology field (QMorF) protocol for analyzing cellular structures.
• To quantify morphological features and associated distributions in cellular structures.
• To reveal underlying mechanical coupling and developmental clues using QMorF.

Main Methods:

• Developed an image-based quantitative morphology field (QMorF) protocol.
• Applied QMorF to feather shafts of varying rigidities as a model system.
• Performed coarse-graining statistical measurements on fitted cellular objects from micro-image stacks.

Main Results:

• QMorF successfully quantifies morphological features and distributions of cellular structures.
• Analysis of feather shafts revealed underlying mechanical coupling and developmental information.
• Generated intuitive representations of mechanical forces within cellular tissues.

Conclusions:

• The QMorF protocol provides a powerful tool for analyzing tissue images with clear cellular features.
• This method offers insights into mechanical coupling and developmental processes during morphogenesis.
• QMorF is valuable for studying the relationship between cell morphology and mechanical forces in biological development.