Machine learning in cell biology–teaching computers to recognize phenotypes

C Sommer, DW Gerlich - Journal of cell science, 2013 - journals.biologists.com
Recent advances in microscope automation provide new opportunities for high-throughput
cell biology, such as image-based screening. High-complex image analysis tasks often …

The new state of the art: Cas9 for gene activation and repression

MF La Russa, LS Qi - Molecular and cellular biology, 2015 - Am Soc Microbiol
CRISPR-Cas9 technology has rapidly changed the landscape for how biologists and
bioengineers study and manipulate the genome. Derived from the bacterial adaptive …

Vasculature and lymphatic system imaging and ablation associated with a reservoir

RA Hyde, EKY Jung, NP Myhrvold… - US Patent …, 2012 - Google Patents
Filed: Oct. 5, 2007(57) In an embodiment, a system includes one or one or more (65) Prior
Publication Data reservoirs responsive to control circuitry for receiving US 2009/0093728A1 …

Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes

B Neumann, T Walter, JK Hériché, J Bulkescher… - Nature, 2010 - nature.com
Despite our rapidly growing knowledge about the human genome, we do not know all of the
genes required for some of the most basic functions of life. To start to fill this gap we …

Local binary patterns variants as texture descriptors for medical image analysis

L Nanni, A Lumini, S Brahnam - Artificial intelligence in medicine, 2010 - Elsevier
OBJECTIVE: This paper focuses on the use of image-based machine learning techniques in
medical image analysis. In particular, we present some variants of local binary patterns …

Image-based cell phenotyping with deep learning

A Pratapa, M Doron, JC Caicedo - Current opinion in chemical biology, 2021 - Elsevier
A cell's phenotype is the culmination of several cellular processes through a complex
network of molecular interactions that ultimately result in a unique morphological signature …

CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging

M Held, MHA Schmitz, B Fischer, T Walter… - Nature …, 2010 - nature.com
Fluorescence time-lapse imaging has become a powerful tool to investigate complex
dynamic processes such as cell division or intracellular trafficking. Automated microscopes …

Multidimensional drug profiling by automated microscopy

ZE Perlman, MD Slack, Y Feng, TJ Mitchison, LF Wu… - Science, 2004 - science.org
We present a method for high-throughput cytological profiling by microscopy. Our system
provides quantitative multidimensional measures of individual cell states over wide ranges …

A systematic comparison of supervised classifiers

DR Amancio, CH Comin, D Casanova, G Travieso… - PloS one, 2014 - journals.plos.org
Pattern recognition has been employed in a myriad of industrial, commercial and academic
applications. Many techniques have been devised to tackle such a diversity of applications …

Analyzing proteome topology and function by automated multidimensional fluorescence microscopy

W Schubert, B Bonnekoh, AJ Pommer… - Nature …, 2006 - nature.com
Temporal and spatial regulation of proteins contributes to function. We describe a
multidimensional microscopic robot technology for high-throughput protein colocalization …