output
20042026
most citedGlobal envelope tests for spatial processes

221 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing q-bio.QMShow all

5 papers · 1 filter

q-bio.QM2022★ 36 cited

Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line

Ali Ghaznavi, Renata Rychtarikova, Mohammadmehdi Saberioon +1

Living cell segmentation from bright-field light microscopy images is challenging due to the image complexity and temporal changes in the living cells. Recently developed deep lear…

q-bio.QM2021★ 1 cited

Quantification of collective behaviour via causality analysis

Kirill Lonhus, Dalibor Stys, Renata Rychtarikova

Terms such as leader, mediator, and follower sound equal in the description of a pack of wolves, a street protest crowd, or a business team and have very similar meanings. This ind…

q-bio.QM2018★ 3 cited

Segmentation of laterally symmetric overlapping objects: application to images of collective animal behaviour

K. Lonhus, D. Štys, M. Saberioon +1

Video analysis is currently the main non-intrusive method for the study of collective behavior. However, 3D-to-2D projection leads to overlapping of observed objects. The situation…

q-bio.QM2017

Application of electromagnetic centroids to colocalization of fluorescing objects in tissue sections

Renata Rychtarikova, Georg Steiner, Gero Kramer +2

Light microscopy as well as image acquisition and processing suffer from physical and technical prejudices which preclude a correct interpretation of biological observations which…

q-bio.QM2016★ 11 cited

Super-resolved 3-D imaging of live cells organelles from bright-field photon transmission micrographs

Renata Rychtarikova, Tomas Nahlik, Kevin Shi +5

Current biological and medical research is aimed at obtaining a detailed spatiotemporal map of a live cell's interior to describe and predict cell's physiological state. We present…