Cell Phone Microscopy
Cell Phone Microscopy - Related Videos
06:42
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
0 Views •
Cited by 32 •
2013
We review our recent results on the integration of fluorescent microscopy and imaging flow cytometry tools on a cell-phone using compact and cost-effective opto-fluidic attachments. These cell-phone based micro-analysis devices might be useful for cytometric analysis, such as performing various cell counting tasks as well as for high-throughput screening of e.g., water samples in resource limited settings.
09:39
Preparation of Drosophila S2 cells for Light Microscopy
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Cited by 24 •
2010
Drosophila Schneider (S2) cells are an increasingly popular system for the discovery and functional analysis of genes. Our goal is to describe some of the microscopic techniques that make S2 cells such an increasingly important experimental system.
17:08
In vivo Clonal Tracking of Hematopoietic Stem and Progenitor Cells Marked by Five Fluorescent Proteins using Confocal and Multiphoton Microscopy
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Cited by 11 •
2014
Combinatorial 5 fluorescent proteins marking of hematopoietic stem and progenitor cells allows in vivo clonal tracking via confocal and two-photon microscopy, providing insights into bone marrow hematopoietic architecture during regeneration. This method allows non-invasive fate mapping of spectrally-coded HSPCs-derived cells in intact tissues for extensive periods of time following transplantation.
19:16
Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy (FSM)
0 Views •
Cited by 8 •
2009
Selection, microinjection, and imaging of fluorescently-labeled F-actin via fluorescent speckle microscopy (FSM).
FAQs
The attachment uses lenses or other optical elements to enlarge light from a specimen and project the resulting image onto the smartphone camera sensor. The sensor then records the magnified information as a digital image. This optical arrangement connects physical magnification with the phone’s built-in imaging hardware, allowing specimens to be documented without relying on a conventional microscope body.
Software extends the imaging system beyond simple photography by supporting image capture, measurement, and analysis. These functions can help convert a recorded specimen image into biological information that researchers can evaluate or compare. In bioengineering, computational processing is especially useful when the platform must support decentralized measurements, because results can be handled digitally rather than remaining only as visual observations.
Its main practical advantages are portability, accessibility, and potentially lower cost. A compact phone-based platform can support imaging in settings where conventional microscopes are unavailable, making microscopy more feasible for distributed research, field observations, or educational activities. The approach does not replace every conventional instrument, but it provides a useful option when mobility and access are central requirements.
Computation can support the capture, measurement, and analysis of images, while wireless communication enables rapid data sharing. Together, these features allow biological observations to move from a local device into a broader measurement workflow. This is relevant to decentralized bioengineering because images and derived measurements can be collected and communicated across locations rather than confined to a single laboratory.
A typical workflow begins by placing the specimen within the optical system, using the attachment to enlarge light from the sample onto the phone’s camera sensor, and recording the resulting image. Software can then support measurement and analysis. The completed workflow produces a digital record that may be examined locally, shared wirelessly, or incorporated into a biological measurement process.
The approach can support cell and tissue imaging, point-of-care diagnostics, environmental monitoring, and education. These uses reflect different needs: biological specimens can be documented, diagnostic observations can be made near the point of care, environmental samples can be monitored, and learners can access microscopy without depending entirely on conventional laboratory equipment. Bioengineering provides context for integrating these uses with digital measurement.