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6 papers · 1 filter
Prediction of Cellular Identities from Trajectory and Cell Fate Information
Baiyang Dai, Jiamin Yang, Hari Shroff +1
Determining cell identities in imaging sequences is an important yet challenging task. The conventional method for cell identification is via cell tracking, which is complex and ca…
InferenceMAP: Mapping of Single-Molecule Dynamics with Bayesian Inference
Mohamed El Beheiry, Maxime Dahan, Jean-Baptiste Masson
Single-particle tracking (SPT) grants unprecedented insight into cellular function at the molecular scale [1]. Throughout the cell, the movement of single-molecules is generally he…
Learning microbial interaction networks from metagenomic count data
Surojit Biswas, Meredith McDonald, Derek S. Lundberg +2
Many microbes associate with higher eukaryotes and impact their vitality. In order to engineer microbiomes for host benefit, we must understand the rules of community assembly and…
Automated Alignment of Imperfect EM Images for Neural Reconstruction
Louis K. Scheffer, Bill Karsh, Shiv Vitaladevun
The most established method of reconstructing neural circuits from animals involves slicing tissue very thin, then taking mosaics of electron microscope (EM) images. To trace neuro…
Digital PCR provides sensitive and absolute calibration for high throughput sequencing
Richard A. White, Paul Blainey, H. Christina Fan +1
Several of the next generation sequencers are limited in their sample preparation process by the need to make an absolute measurement of the number of template molecules in the lib…
Online detection and sorting of extracellularly recorded action potentials in human medial temporal lobe recordings, in vivo
Ueli Rutishauser, Erin M. Schuman, Adam N. Mamelak
Understanding the function of complex cortical circuits requires the simultaneous recording of action potentials from many neurons in awake and behaving animals. Practically, this…