Andrej Bajic

PhD student at Department of Surgical Sciences; Orthopaedics and Handsurgery

E-mail:: andrej.bajic@uu.se
Visiting address:: Akademiska sjukhuset, ingång 61, 6 tr
751 85 UPPSALA
Postal address:: Akademiska sjukhuset, ingång 61, 6 tr
751 85 UPPSALA

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Publications

Recent publications

Physically and Chemically Crosslinked Hyaluronic Acid-Based Hydrogels Differentially Promote Axonal Outgrowth from Neural Tissue Cultures

Bajic, Andrej; Andersson, Brittmarie; Ossinger, Alexander; Tavakoli, Shima et al.

Part of Biomimetics, 2024
- DOI for Physically and Chemically Crosslinked Hyaluronic Acid-Based Hydrogels Differentially Promote Axonal Outgrowth from Neural Tissue Cultures
- Download full text (pdf) of Physically and Chemically Crosslinked Hyaluronic Acid-Based Hydrogels Differentially Promote Axonal Outgrowth from Neural Tissue Cultures
A rapid and accurate method to quantify neurite outgrowth from cell and tissue cultures: Two image analytic approaches using adaptive thresholds or machine learning

Ossinger, Alexander; Bajic, Andrej; Pan, S; Andersson, Brittmarie et al.

Part of Journal of Neuroscience Methods, 2020
- DOI for A rapid and accurate method to quantify neurite outgrowth from cell and tissue cultures: Two image analytic approaches using adaptive thresholds or machine learning

All publications

Articles in journal

Physically and Chemically Crosslinked Hyaluronic Acid-Based Hydrogels Differentially Promote Axonal Outgrowth from Neural Tissue Cultures

Bajic, Andrej; Andersson, Brittmarie; Ossinger, Alexander; Tavakoli, Shima et al.

Part of Biomimetics, 2024
- DOI for Physically and Chemically Crosslinked Hyaluronic Acid-Based Hydrogels Differentially Promote Axonal Outgrowth from Neural Tissue Cultures
- Download full text (pdf) of Physically and Chemically Crosslinked Hyaluronic Acid-Based Hydrogels Differentially Promote Axonal Outgrowth from Neural Tissue Cultures
A rapid and accurate method to quantify neurite outgrowth from cell and tissue cultures: Two image analytic approaches using adaptive thresholds or machine learning

Ossinger, Alexander; Bajic, Andrej; Pan, S; Andersson, Brittmarie et al.

Part of Journal of Neuroscience Methods, 2020
- DOI for A rapid and accurate method to quantify neurite outgrowth from cell and tissue cultures: Two image analytic approaches using adaptive thresholds or machine learning