1P308 Real time image analysis technology for identification and collection of clustered cells using on-chip multi-imaging cell sorter(28. Bioengineering,Poster)
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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
The three-model screen
all 1,000 screened works →All three models called this out of scope.
Development of an imaging cell-sorter technology; bioengineering.
This reports a biomedical cell-sorting technology and does not study research practice.
Bioengineering poster on on-chip cell imaging and sorting technology, not metaresearch.
Abstract
We report the newly-developed real time image analysis technology to identify and sort the clustered cells using an on-chip multi-imaging cell sorter, which was combined with a multi-color imaging unit, an ultra-high speed camera, and a microfluidic cell separation unit. The bright-field and fluorescence images of cells were captured simultaneously, and their morphological parameters were analyzed to identify clustered cells. The target clustered cells were collected from a cell suspension successfully by applying electrical pulses in microfluidic flow. The results showed the potential of the morphological index of cells to identify and collect the target cells such as clustered cells in the cell suspension.
Stored with the screening record, where it is evidence for the labels above.
The record
- Venue
- Seibutsu Butsuri
- Topic
- 3D Printing in Biomedical Research
- Field
- Engineering
- Canadian institutions
- Kootenay Association for Science & Technology
- Funders
- —
- Keywords
- Identification (biology)ChipComputer scienceImage (mathematics)Computer visionBiologyTelecommunications
- Has abstract in OpenAlex
- yes