Multispectral Cell Imaging and Analysis Service
The Cell Imaging and Analysis Service uses flow cytometry techniques to identify and quantitate cell types in forensic samples.
Highlights:
- High-throughput and non-destructive analysis of individual cells within biological samples
- Quantify abundance of four cell types: epidermal (i.e., corneocytes shed through touch/contact), saliva/buccal, vaginal, and blood
- Cells can be quantified in samples that have been aged/dried for >2 months
- After imaging, cells can be used for other analyses (e.g., genetic profiling)
Individual cells are imaged with flow cytometry over a range of fluorescent wavelengths. Machine learning algorithms developed from a predictive framework database then analyze each cell image. Cell type is determined based on the attributes associated for the individual cell and how they relate to vaginal, saliva, blood or epidermal cells in the database. Any existing laboratories can easily adopt this technique using standard equipment.
From the laboratory of Christopher J. Ehrhardt, PhD, Virginia Commonwealth University.
The Cell Imaging and Analysis Service uses flow cytometry techniques to identify and quantitate cell types in forensic samples.
Highlights:
- High-throughput and non-destructive analysis of individual cells within biological samples
- Quantify abundance of four cell types: epidermal (i.e., corneocytes shed through touch/contact), saliva/buccal, vaginal, and blood
- Cells can be quantified in samples that have been aged/dried for >2 months
- After imaging, cells can be used for other analyses (e.g., genetic profiling)
Individual cells are imaged with flow cytometry over a range of fluorescent wavelengths. Machine learning algorithms developed from a predictive framework database then analyze each cell image. Cell type is determined based on the attributes associated for the individual cell and how they relate to vaginal, saliva, blood or epidermal cells in the database. Any existing laboratories can easily adopt this technique using standard equipment.
From the laboratory of Christopher J. Ehrhardt, PhD, Virginia Commonwealth University.
| Catalog Number | Product | DataSheet | Size | AVAILABILITY | Price | Qty |
|---|
For orders greater than 100 samples, please Contact Us for a bulk discount.
| Product Type: | Service |
| Name: | Multispectral Cell Imaging and Analysis Service |
| Format: | Submissions can be dried sample swabs or cell solutions in water/buffer (1xPBS). Other sample types are possible, please contact prior to submission make arrangements and discuss feasibility. Image galleries collected with Imaging Flow Cytometry can also be submitted. Please Contact Us for imaging settings and parameters. |
| Comments: | Individual cells are imaged with flow cytometry over a range of fluorescent wavelengths. Machine learning algorithms developed from a predictive framework database then analyze each cell image. Cell type is determined based on the attributes associated for the individual cell and how they relate to vaginal, saliva, blood or epidermal cells in the database. Any existing laboratories can easily adopt this technique using standard equipment. See Data below for sample report. |
| Shipped: | It is the customer's responsibility to cover any sample shipping costs. Instructions on where to send samples, etc. will be provided upon ordering. Please Contact Us with any questions. |
- Brocato ER, Philpott MK, Connon CC, Ehrhardt CJ. Rapid differentiation of epithelial cell types in aged biological samples using autofluorescence and morphological signatures. PLoS One. 2018 May 17;13(5):e0197701. doi: 10.1371/journal.pone.0197701. eCollection 2018. PubMed PMID: 29772013; PubMed Central PMCID: PMC5957390.
If you publish research with this product, please let us know so we can cite your paper.
