456 citations · 772 across the 15 of their papers we have counts for
16 papers
Long-Range Repulsion Between Chromosomes in Mammalian Oocyte Spindles
Colm P Kelleher, Yash Rana, Daniel J Needleman
During eukaryotic cell division, a microtubule-based structure called the spindle exerts forces on chromosomes, thereby organizing and segregating them Extensive work demonstrates…
Structure and dynamics of motor-driven microtubule bundles
Bezia Lemma, Linnea Lemma, Stephanie C. Ems-McClung +3
Connecting the large-scale emergent behaviors of active materials to the microscopic properties of their constituents is a challenge due to a lack of data on the multiscale dynamic…
Active microphase separation in mixtures of microtubules and tip-accumulating molecular motors
Bezia Lemma, Noah P. Mitchell, Radhika Subramanian +2
Mixtures of microtubules and molecular motors form active materials with diverse dynamical behaviors that vary based on their constituents' molecular properties. We map the non-equ…
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei +8
The developmental process of embryos follows a monotonic order. An embryo can progressively cleave from one cell to multiple cells and finally transform to morula and blastocyst. F…
Inferring simple but precise quantitative models of human oocyte and early embryo development
Brian D Leahy, Catherine Racowsky, Daniel Needleman
Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenome…
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Won-Dong Jang, Donglai Wei, Xingxuan Zhang +6
Blastomere instance segmentation is important for analyzing embryos' abnormality. To measure the accurate shapes and sizes of blastomeres, their amodal segmentation is necessary. A…