Unlocking the Secrets of Life, One Billion Single Cells at a Time

About Cellarium

Cell Biology | Artificial Intelligence

The future of cell biology research is in silico. We are a team of Machine Learning Scientists and Engineers at the Data Sciences Platform, Broad Institute of MIT and Harvard. We are experts in leveraging AI/ML methodologies to uncover new insights about fundamental processes of life at the cellular and molecular level. We are tokenizing all of cell biology data.

Tools

Cellarium Cell Annotation Service (CAS)

Cellarium CAS is a cutting-edge inverse search engine for single-cell transcriptomics

Cellarium AI Platform

Cellarium AI Platform is a cloud-native DataOps and MLOps infrastructure for single-cell biology inspired by modern AI practices.

#Cloud #Single-Cell RNA Sequencing #Web Services

CellBender

CellBender is a software tool developed to remove technical artifacts from single-cell RNA sequencing (scRNA-seq) data.

#Denoising #Generative Modeling #Single-Cell RNA Sequencing #Variational inference

CellMincer

CellMincer is a self-supervised deep learning framework for denoising voltage imaging datasets.

#Denoising #Generative Modeling

CellCap

CellCap is a deep generative model designed for the end-to-end interpretive analysis of single-cell perturbation experiments. CellCap explicitly models the correspondence between cell states and perturbation responses, and explains the responses with a succinct set of transcriptional programs.

#Generative Modeling #Perturbation #Single-Cell RNA Sequencing #Variational inference

SynapseCLR

SynapseCLR is a contrastive learning framework for navigating 3D electron microscopy data.

#3D #Contrastive Learning #Electron Microscopy #ResNet