Abdelmalek Faraj

Deep Learning Based Cell Segmentation of 3D Confocal Images of Wood for Enzymatic Hydrolysis Applications

This paper develops a 3D U-net model for segmenting wood cells in confocal images to improve predictions of enzymatic hydrolysis efficiency.

Taming complexity in enzymatic saccharification: A predictive hierarchical modeling framework

The paper develops a hierarchical modeling framework to predict enzymatic saccharification dynamics by simplifying complex interactions through successive model reductions.

Plant Cell Wall Enzymatic Hydrolysis: Predicting Yield Dynamics from Autofluorescence and Morphological Temporal Changes

This study develops a pipeline to predict sugar conversion yields during plant cell wall enzymatic hydrolysis using autofluorescence and morphological changes, revealing strong negative correlations with conversion efficiency.

A Distinct Autofluorescence Distribution Pattern Marks Enzymatic Deconstruction of Plant Cell Wall

This study identifies a distinct autofluorescence pattern marking enzymatic deconstruction of plant cell walls and develops a computational pipeline to assess hydrolysis impact.