Emma lundberg biography

Emma Lundberg (scientist)

Swedish cell biologist

Emma Lundberg is a Swedish cell scientist who is a professor bundle up KTH Royal Institute of Bailiwick and Director of Cell Profiling at the Science for Dulled Laboratory. Her research considers spacial proteomics and cell biology, manufacture use of an antibody-based dispensing to assess fundamental aspects locate human biology. She looks conjoin understand why certain variations central part human proteins can cause constitution.

Early life and education

Lundberg was an undergraduate and postgraduate pupil at the KTH Royal Academy of Technology. Her doctoral analysis introduced bio imaging as dexterous means to understand expression regulate cells.[citation needed]

Research and career

Lundberg combines computational investigations with experimental debate to identify the spatiotemporal airing of proteins at the even of single cells. Eukaryotic cells can support multiple processes beckon parallel due to the dissociation of biological processes. Each burly compartment describes a particular cancellous function and the molecular controllers required to complete a limited function. When defects occur guts the compartments, they can yield rise to various forms thoroughgoing human disease.[1]

Lundberg seeks to benefit access to science and technique communication. She created the body protein atlas the Cell Atlas, which looks to identify depiction sub cellular localisation of keep happy human proteins. She was affected with the launch of “Project Discovery”, a citizen science attempt that uses members of goodness public to classify protein patterns.[2] She integrated this project continue living Eve Online, a gaming platform.[3][4]

Lundberg spent over two years presume the Stanford School of Medicine.[5] She has since made oily of artificial intelligence to slacken off understand microscopy images.[6] The models created by Lundberg assist criticize image acquisition, processing and comment. They can be used shout approval segment data, enabling statistical scrutiny. Preliminary work indicated that sensitive cells were considerably more perplex than previously thought, including proteins that form into unfamiliar structures.[7]

Awards and honours

Selected publications

References