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Dive into the research topics where Carolina Wählby is active.

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Featured researches published by Carolina Wählby.


Nature Methods | 2011

Increasing the dynamic range of in situ PLA

Carl-Magnus Clausson; Amin Allalou; Irene Weibrecht; Salah Mahmoudi; Marianne Farnebo; Ulf Landegren; Carolina Wählby; Ola Söderberg

Genomic DNA is the template of life - the entity which is characterized by a self-sustaining anatomical development, regulated signaling processes, the ability to reproduce and to respond to stimuli. Through what is classically known as the central dogma, the genome is transcribed into mRNA, which in turn is translated into proteins. The proteins take part in most, if not all, cellular processes, and it is by unraveling these processes that we can begin to understand life and disease-causing mechanisms.In vitro and in vivo assays are two levels at which protein communication may be studied, and which permit manipulation and control over the proteins under investigation. But in order to retrieve a representation of the processes as close to reality as possible, in situ analysis may instead be applied as a complement to the other two levels of study. In situ PLA offers the ability to survey protein activity in tissue samples and primary cell lines, at a single cell level, detecting single targets in their natural unperturbed environment. In this thesis new developments of the in situ PLA are described, along with a new technique offering in situ enzyme-free detection of proximity between biomolecules.The dynamic range of in situ PLA has now been increased by several orders of magnitude to cover analogous ranges of protein expression; the output signals have been modified to offer a greater signal-to-noise ratio and to limit false-positive-rates while also extending the dynamic range further; simultaneous detection of multiple protein complexes is now possible; proximity-HCR is presented as a robust and inexpensive enzyme-free assay for protein complex detection.The thesis also covers descriptions on how the techniques may be simultaneously applied, also together with other techniques, for the multiple data-point acquisition required by the emerging realm of systems biology. A future perspective is presented for how much more information may be simultaneously acquired from tissue samples to describe biomolecular interactions in a new manner. This will allow new types of biomarkers and drugs to be discovered, and a new holistic understanding of life.


Archive | 2014

Compaction of rolling circle amplification products increases signal strength and integrity

Carl-Magnus Clausson; Ola Söderberg; Linda Arngården; Omer Ishaq; Carolina Wählby; Mats Nilsson; Tomasz Krzywkowski


3rd Digital Pathology Congress | 2017

A web application to analyse and visualize digital images at multiple resolutions

Maxime Bombrun; Petter Ranefall; Carolina Wählby


Swedish Symposium on Image Analysis 2016 (SSBA 2016) March 14-16 2016, Uppsala, Sweden | 2016

Global And Local Adaptive Gray-level Thresholding Based on Object Features

Petter Ranefall; Sajith Kecheril Sadanandan; Carolina Wählby


Archive | 2016

Training of Machine Learning Methods for Fluorescent Spot Detection

Omer Ishaq; Vladimir Curic; Carolina Wählby


Archive | 2016

Evaluation of Deep Learning for Detection of Fluorescent Spots in Real Data

Omer Ishaq; Vladimir Curic; Carolina Wählby


4th Nordic Symposium on Digital Pathology | 2016

Automatic grading of breast cancer from whole slide images of Ki67 stained tissue sections

Petter Ranefall; Carolina Wählby; Ewert Bengtsson


4th Nordic Symposium on Digital Pathology | 2016

TissueMaps : A large multi-scale data analysis platform for digital image application built on open-source software

Maxime Bombrun; Petter Ranefall; Carolina Wählby


BioImage Informatics Conference 2015, Gaithersburg, MD, USA | 2015

Your New Default Thresholding Method? : A robust global gray-level thresholding method based on object features

Petter Ranefall; Carolina Wählby


eSSENCE Academy 2014 in Umeå | 2014

Large-Scale Analysis of Cells and Tissue

Petter Ranefall; Sajith Kecheril Sadanandan; Omer Ishaq; Damian J. Matuszewski; Ida-Maria Sintorn; Carolina Wählby

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Carlos Pardo-Martin

Massachusetts Institute of Technology

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Mehmet Fatih Yanik

Massachusetts Institute of Technology

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Amin Allalou

Science for Life Laboratory

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