Korsnes Biocomputing (KoBio)

KoBio is a startup participating in experimental work on computational methods in biology. We specialize in single-cell tracking and subsequent analyses. We can make visualization products and statistics from your time-lapse recordings of cells grown as mono-layers in test wells. You can choose to access results via our client portal .

Here is an illustration (screenshot) from the use of Kobio_Celltrack showing "relative" cells (click to enlarge):

A The system is under active development based on Ada 2012 using GLOBE_3D as an OpenGL language binding.

Example from tracking A549 cells exposed to a toxin during 96 hours using Kobio Celltrack. The video was done using Cytation 5 Cell Imaging Multi-Mode Reader from Biotek:

If you have questions about this software, contact the main developer Reinert Korsnes: email

Video clip showing vacuoles passing from mother cell to her daughters through cell division:

These cells are A549 lung cancer cells exposed to 1000 nM yessotoxin. We prepared this video when tracking the cells for the work "Single-Cell Tracking of A549 Lung Cancer Cells Exposed to a Marine Toxin Reveals Correlations in Pedigree Tree Profiles" . We used 96-multiwell black microplates # 655090 from Greiner Bio-One IT to plate the A549 cells for recording with Cytation 5.

Video clip showing abnormal cell division:

A549 lung cancer cell exposed to 200 nM yessotoxin undergoing tripolar mitosis.

Video clip demonstrating variation in individual migration behaviour of A549 lung cancer cells exposed to 200 nM yessotoxin.
Sister cells tend to move similarly:

Other cell tracking software:

Related papers:

QUINSGAARD, Ellen Marie Botne; KORSNES, Mónica Suárez; KORSNES, Reinert; MOSTUE, Siver Andreas. Single-cell tracking as a tool for studying EMT-phenotypes, Experimental Cell Research, 2024. Access full text.

RAMBERG, Håkon; KORSNES, Mónica Suárez; KORSNES, Reinert; TASKÉN, Kristin, Austlid. UP09 - Single-cell tracking of prostate cancer and nerve cells in co-culture, European Urology Open Science, Volume 56, Supplement 1, October 2023, Page S28. Access full text.

KORSNES, Mónica Suárez; KORSNES, Reinert. Initial refinement of data from video-based single-cell tracking, Cancer Innovation, 2023, 1-17. Access full text.

KLIONSKY, Daniel J; et al. ... KORSNES, Mónica Suárez; ... Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy, 2021, 1-382. Full text.

KORSNES, Mónica Suárez; KORSNES, Reinert. Cell speed as phenotypic signature in drug discovery. Poster: International Online Symposium on New Therapeutic Tools Against Preclinical Models of Multidrug Resistant Tumors, November 4, 2020. Full text.

LUCA, Andrei; KASAS Sandor; GARRIDO, Ignacio Ochoa; STANKOVI, Tijana; KORSNES, Mónica Suárez; VACLAVIKOVA, Radka; ASSARAF, Yehuda G and PESIC, Milica. Advanced technological tools to study multidrug resistance in cancer. Drug Resistance Updates, 2020, 100658. Full text.

KORSNES, Mónica Suárez; KORSNES, Reinert. Single-cell tracking of A549 lung cancer cells exposed to a marine toxin reveals correlations in pedigree tree profiles. Frontiers in Oncology, 2018, 8: 260. Full text.

KORSNES, Mónica Suárez; KORSNES, Reinert. Mitotic catastrophe in BC3H1 cells following yessotoxin exposure. Frontiers in Cell and Developmental Biology, 2017, 5. Full text.

KORSNES, Reinert, et al. Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis. MethodsX, 2016, 3: 231-241. Full text.

KORSNES, Mónica Suárez; KORSNES, Reinert. Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin. Frontiers in bioengineering and biotechnology, 2015, 3. Full text.

External participations:

The Nerdy Corner (unrelated):