Michiel Stevens

Mr. Michiel Stevens

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 June 2022 in Cancers
Verified
Journal Article
Open access
PDF file
MSMichiel Stevens
Michiel Stevens
ANAfroditi Nanou
Afroditi Nanou
Leon TerstappenLeon Terstappen
Leon Terstappen
CDChristiane Driemel
Christiane Driemel
NSNikolas H. Stoecklein
Nikolas H. Stoecklein
FCFrank AW Coumans
Frank AW Coumans
After a CellSearch-processed circulating tumor cell (CTC) sample is imaged, a segmentation algorithm selects nucleic acid positive (DAPI+), cytokeratin-phycoerythrin expressing (CK-PE+) events for further review by an operator. Failures in this segmentation can result in missed CTCs. The CellSearch segmentation algorithm was not designed to handle samples with high cell density, such as diagnostic leukapheresis (DLA) samples. Here, we evaluate deep-learning-based segmentation method StarDist as an alternative to the CellSearch segmentation. CellSearch image archives from 533 whole blood samples and 601 DLA samples were segmented using CellSearch and StarDist and inspected visually. In 442 blood samples from cancer patients, StarDist segmented 99.95% of CTC segmented by CellSearch, produced good outlines for 98.3% of these CTC, and segmented 10% more CTC than CellSearch. Visual inspection of the segmentations of DLA images showed that StarDist continues to perform well when the cell density is very high, whereas CellSearch failed and generated extremely large segmentations (up to 52% of the sample surface). Moreover, in a detailed examination of seven DLA samples, StarDist segmented 20% more CTC than CellSearch. Segmentation is a critical first step for CTC enumeration in dense samples and StarDist segmentation convincingly outperformed CellSearch segmentation.

8 June 2015 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
JSJoost F. Swennenhuis
Joost F. Swennenhuis
ATArjan G. J. Tibbe
Arjan G. J. Tibbe
MSMichiel Stevens
Michiel Stevens
MKMadhumohan R. Katika
Madhumohan R. Katika
JDJoost van Dalum
Joost van Dalum
Leon TerstappenLeon Terstappen
Leon Terstappen
Self-seeding microwells are designed to separate all cells in a suspension. Cells block the pores in the bottom of the well thereby forcing the other cells into free wells.

26 November 2020 in Cancers
Verified
Journal Article
Open access
PDF file
PLPeng Liu
Peng Liu
PJPascal Jonkheijm
Pascal Jonkheijm
Leon TerstappenLeon Terstappen
Leon Terstappen
MSMichiel Stevens
Michiel Stevens
Here, we review the characteristics and synthesis of magnetic nanoparticles (MNPs) and place these in the context of their usage in the immunomagnetic enrichment of Circulating Tumor Cells (CTCs). The importance of the different characteristics is explained, the need for a very specific enrichment is emphasized and different (commercial) magnetic separation techniques are shown. As the specificity of an MNP is in a large part dependent on the antibody coated onto the particle, different strategies in the coupling of specific antibodies as well as an overview of the available antibodies is given.

10 September 2015 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
YYYoonsun Yang
Yoonsun Yang
HRHoon Suk Rho
Hoon Suk Rho
MSMichiel Stevens
Michiel Stevens
ATArjan G. J. Tibbe
Arjan G. J. Tibbe
HGHan Gardeniers
Han Gardeniers
Leon TerstappenLeon Terstappen
Leon Terstappen
We developed a microfluidic device in which single cancer cells can be placed, lysed and their DNA amplified for further interrogation.

14 November 2018 in Cytometry Part A
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Journal Article
Closed access
PDF file
MSMichiel Stevens
Michiel Stevens
LOLisa Oomens
Lisa Oomens
JBJoska Broekmaat
Joska Broekmaat
JWJoris Weersink
Joris Weersink
FAFikri Abali
Fikri Abali
ATArjan Tibbe
Arjan Tibbe

1 August 2017 in Analytical Biochemistry
Verified
Journal Article
Open access
FAF. Abali
F. Abali
MSMichiel Stevens
Michiel Stevens
ATA.G.J. Tibbe
A.G.J. Tibbe
Leon TerstappenLeon Terstappen
Leon Terstappen
PVP.N. van der Velde
P.N. van der Velde
RSR.B.M. Schasfoort
R.B.M. Schasfoort
Here the feasibility is demonstrated that by combining Surface Plasmon Resonance Imaging (SPRi) and self-sorting microwell technology product secretion of individual cells can be monitored. Additionally isolation of the selected cells can be performed by punching the cells from the microwells using coordinates of the positions of microwells obtained with SPRi. Cells of interest can be retrieved sterile from the microwell array for further cultivation.