Smartphone Microscope Research Articles

Stereoscopic three-dimensional (3D) slit-lamp photography using a compact 3D digital camera.

We describe a novel method of stereoscopic 3D slit-lamp photography using a portable compact 3D digital camera. Thirteen eyes of 13 patients underwent slit-lamp photography using a Fujifilm 3D compact digital camera. We modified a universal smartphone microscope adapter to attach the camera to the slit-lamp. Photography was attempted on Zeiss and on HAAG-Streit slit-lamps. Success was defined as capturing a stereogram that consists of two simultaneous pictures, one from each slit-lamp ocular. Stereoscopic 3D slit-lamp photos could be captured in all 13 eyes in which they were attempted on Zeiss slit-lamps. Captured 3D media included external, eyelid, conjunctival, corneal, anterior chamber, lens, vitreous, and optic disc pathologies. Stereoscopic 3D photography could not be obtained using this Fujifilm 3D digital camera on Haag-Streit slit-lamps because of alignment incompatibility between the oculars of the slit-lamp and the camera. Digital stereoscopic 3D slit-lamp photography is feasible using a compact 3D digital camera and compatible slit-lamp design. Images obtained using this technique may be helpful in clinical education.

A smartphone microscopic method for simultaneous detection of (oo)cysts of Cryptosporidium and Giardia.

BackgroundFood and water-borne illness caused by ingestion of (oo)cysts of Cryptosporidium and Giardia is one of the major health problems globally. Several methods are available to detect Giardia cyst and Cryptosporidium oocyst in food and water. Most of the available methods require a good laboratory facility and well-trained manpower and are therefore costly. There is a need of affordable and reliable method that can be easily implemented in resource limited settings.Methodology/Principle findingsWe developed a smartphone based microscopic assay method to screen (oo)cysts of Cryptosporidium and Giardia contamination of vegetable and water samples. The method consisting of a ball lens of 1 mm diameter, white LED as illumination source and Lugols's iodine staining provided magnification and contrast capable of distinguishing (oo)cysts of Cryptosporidium and Giardia. The analytical performance of the method was tested by spike recovery experiments. The spike recovery experiments performed on cabbage, carrot, cucumber, radish, tomatoes, and water resulted in 26.8±10.3, 40.1±8.5, 44.4±7.3, 47.6±11.3, 49.2 ±10.9, and 30.2±7.9% recovery for Cryptosporidium, respectively and 10.2±4.0, 14.1±7.3, 24.2±12.1, 23.2±13.7, 17.1±13.9, and 37.6±2.4% recovery for Giardia, respectively. The spike recovery results are comparable with data obtained using commercial brightfield and fluorescence microscope methods. Finally, we tested the smartphone microscope system for detecting (oo)cysts on 7 types of vegetable (n = 196) and river water (n = 18) samples. Forty-two percent vegetable and thirty-nine percent water samples were found to be contaminated with Cryptosporidium oocyst. Similarly, thirty-one percent vegetable and thirty-three percent water samples were contaminated with Giardia cyst.ConclusionsThe newly developed smartphone microscopic method showed comparable performance to commercial microscopic methods. The new method can be a low-cost and easy to implement alternative method for simultaneous detection of (oo)cysts in vegetable and water samples in resource limited settings.

A Leeuwenhoek-Type Mobile Microscope for Histology Education

Abstract:

Automated screening of sickle cells using a smartphone-based microscope and deep learning

Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where the majority of SCD patients reside, more than 50% of the 0.2–0.3 million children born with SCD each year will die from it; many of these deaths are in fact preventable with correct diagnosis and treatment. Here, we present a deep learning framework which can perform automatic screening of sickle cells in blood smears using a smartphone microscope. This framework uses two distinct, complementary deep neural networks. The first neural network enhances and standardizes the blood smear images captured by the smartphone microscope, spatially and spectrally matching the image quality of a laboratory-grade benchtop microscope. The second network acts on the output of the first image enhancement neural network and is used to perform the semantic segmentation between healthy and sickle cells within a blood smear. These segmented images are then used to rapidly determine the SCD diagnosis per patient. We blindly tested this mobile sickle cell detection method using blood smears from 96 unique patients (including 32 SCD patients) that were imaged by our smartphone microscope, and achieved ~98% accuracy, with an area-under-the-curve of 0.998. With its high accuracy, this mobile and cost-effective method has the potential to be used as a screening tool for SCD and other blood cell disorders in resource-limited settings.

Evaluation of Smartphone Microscope Applications for Use in Middle Year Biology Classroom

Evaluation of Smartphone Microscope Applications for Use in Middle Year Biology Classroom

Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept.

The evolution of smartphone technology has made their use more common in dermatological applications. Here we studied the feasibility of using an inexpensive smartphone microscope for the extraction of dermatological parameters and compared the results obtained with a portable dermoscope, commonly used in clinical practice. Forty-two skin lesions were imaged with both devices and visually analyzed by an expert dermatologist. The presence of a reticular pattern was observed in 22 dermoscopic images, but only in 10 smartphone images. The proposed paradigm segments the image and extracts texture features which are used to train and validate a neural network to classify the presence of a reticular pattern. Using 5-fold cross-validation, an accuracy of 100% and 95% was obtained with the dermoscopic and smartphone images, respectively. This approach can be useful for general practitioners and as a triage tool for skin lesion analysis.

On-site cell concentration and viability detections using smartphone based field-portable cell counter

We designed a smartphone based field-portable cell counter combining the smartphone microscope for bright-field image recording and the smartphone application for automatically cell recognition, counting and analysis. To our best knowledge, it is the first time that a smartphone based cell counter can distinguish and count both live and dead cells simultaneously. Compared to the results obtained by hemocytometer, commercial cell counter and flow cytometer, the proposed device was proved to detect cell concentration and viability accurately within the application range between 105 cells/mL and 107 cells/mL. Though multiple fields of view were measured to increase the sampling amount for error reduction, the whole operations including image recording and processing can still be finished rapidly. Moreover, the proposed device is cost-effective with small size of 170 mm × 113 mm × 168 mm containing a built-in power supply. Considering its advantages as high accuracy, fast speed, low cost, long battery life and compact configuration, it is believed the proposed device is a potential tool applied in on-site cell analysis.

A low-cost, accurate strain measurement using multi-view amplification mechanism and visual polydimethylsiloxane lens

Strain sensors are widely applied in the industry requiring specific signal amplifiers and signal readers. However, the devices are unable to read data quickly and intuitively. The present study introduces a highly accurate, repeatable, mold-free strain sensor comprising of an amplification mechanism and a smart-phone microscope. Generation of the amplification mechanism using rapid prototyping especially 3D printing is summarized and evaluated. The sensitivity of the proposed amplifier is (39.47 ± 1.34) for nylon and (37.74 ± 2.41) for ABS. A visual polydimethylsiloxane (PDMS) lens with a focal length of 7.23 mm is attached to the iphone6 camera, performing as a microscope for image acquisition, which provides an equivalent focal length of 6.7 mm and a resolution of 0.691 µm.

Semi-permanent smartphone adapter for microscopes: Design demonstration and workflow testing using a slit-lamp biomicroscope

BACKGROUND:A smartphone microscope adapter is an alternative to a permanently mounted camera, which often requires a specially designed light path as well as a computer system for data storage and network connectivity. A common disadvantage of these adapters is that they need to be repeatedly mounted and dismounted; this is inconvenient during serial observations.PURPOSE:The study purpose is to develop and test a semi-permanent microscope adapter.METHODS:Our prototype was designed using three-dimensional (3D) computer-aided design software and was 3D printed for testing. Two tests were designed to quantify the workflow improvement by measuring the time required to complete specific movements, which simulated the actions of capturing photographs by using an adapter and a slit-lamp biomicroscope. Our prototype was the experimental adapter, and two commercially available products were used as references. A single-shot test measured the average time required to complete a photographing cycle, in which a single photograph was recorded. A multiple-shot test measured the time required to complete cycles in which a different number of photographs were captured; thus, the time required specifically for the preparation phase of photographing was determined. Both tests were performed by 4 researchers.RESULTS:The average time required to complete a cycle using our prototype in single-shot test was significantly shorter than that using one of the references. For the other reference, significances were shown in 2 testers’ results. In the multiple-shot test, the linear regression analysis also showed that the preparation phase of our prototype was significantly shorter than the preparation phase of the two commercially available products (P < 0.001).CONCLUSIONS:The semi-permanent design may improve the workflow of photography using smartphone adapters, thereby reducing the time and effort required for preparing devices, particularly when making multiple consecutive observations or when the targets disappear fast.

Commentary: The glued intraocular lens smartphone microscope.

Commentary: The glued intraocular lens smartphone microscope.

Smartphone Nanocolorimetry for On-Demand Lead Detection and Quantitation in Drinking Water.

Lead ions (Pb2+) contamination in drinking water, a major source of lead poisoning to the general population, is typically detected by bulky and costly laboratory analytical instrument. A mobile analytical device for rapid Pb2+ sensing is a growing demand. Herein, we report smartphone nanocolorimetry (SNC) as a new technique to detect and quantify dissolved Pb2+ in drinking water. Specifically, we have employed a single-step sedimentation approach by mixing a controlled quantity of chromate ion (CrO42-) to react with Pb2+ containing solutions to form highly insoluble lead chromate (PbCrO4) nanoparticles as vivid yellow precipitates. This is followed by microscopic color detection and intensity quantitation at nanoscale level using dark-field smartphone microscopy. The sum of the intensity of yellow pixels bears a highly reproducible relationship with Pb2+ concentration between 1.37 and 175 ppb in deionized water and 5-175 ppb in city tap water. In contrast to traditional colorimetric techniques analyzing bulk color changes, SNC achieves unparalleled sensitivity by combining nanocolorimetry with dark-field microscopy and mobilized the metal ions detection by integrating the detection into the smartphone microscope platform. SNC is rapid and low-cost and has the potential to enable individual citizens to examine Pb2+ content in drinking water on-demand in virtually any environmental setting.

EnLightenment: High resolution smartphone microscopy as an educational and public engagement platform.

We developed a simple, cost-effective smartphone microscopy platform for use in educational and public engagement programs. We demonstrated its effectiveness, and potential for citizen science through a national imaging initiative, EnLightenment. The cost effectiveness of the instrument allowed for the program to deliver over 500 microscopes to more than 100 secondary schools throughout Scotland, targeting 1000's of 12-14 year olds. Through careful, quantified, selection of a high power, low-cost objective lens, our smartphone microscope has an imaging resolution of microns, with a working distance of 3 mm. It is therefore capable of imaging single cells and sub-cellular features, and retains usability for young children. The microscopes were designed in kit form and provided an interdisciplinary educational tool. By providing full lesson plans and support material, we developed a framework to explore optical design, microscope performance, engineering challenges on construction and real-world applications in life sciences, biological imaging, marine biology, art, and technology. A national online imaging competition framed EnLightenment; with over 500 high quality images submitted of diverse content, spanning multiple disciplines. With examples of cellular and sub-cellular features clearly identifiable in some submissions, we show how young public can use these instruments for research-level imaging applications, and the potential of the instrument for citizen science programs.

Using machine-learning to optimize phase contrast in a low-cost cellphone microscope.

Cellphones equipped with high-quality cameras and powerful CPUs as well as GPUs are widespread. This opens new prospects to use such existing computational and imaging resources to perform medical diagnosis in developing countries at a very low cost. Many relevant samples, like biological cells or waterborn parasites, are almost fully transparent. As they do not exhibit absorption, but alter the light’s phase only, they are almost invisible in brightfield microscopy. Expensive equipment and procedures for microscopic contrasting or sample staining often are not available. Dedicated illumination approaches, tailored to the sample under investigation help to boost the contrast. This is achieved by a programmable illumination source, which also allows to measure the phase gradient using the differential phase contrast (DPC) [1, 2] or even the quantitative phase using the derived qDPC approach [3]. By applying machine-learning techniques, such as a convolutional neural network (CNN), it is possible to learn a relationship between samples to be examined and its optimal light source shapes, in order to increase e.g. phase contrast, from a given dataset to enable real-time applications. For the experimental setup, we developed a 3D-printed smartphone microscope for less than 100 $ using off-the-shelf components only such as a low-cost video projector. The fully automated system assures true Koehler illumination with an LCD as the condenser aperture and a reversed smartphone lens as the microscope objective. We show that the effect of a varied light source shape, using the pre-trained CNN, does not only improve the phase contrast, but also the impression of an improvement in optical resolution without adding any special optics, as demonstrated by measurements.

Fabrication of miniature elastomer lenses with programmable liquid mold for smartphone microscopy: curing polydimethylsiloxane with in situ curvature control.

Miniature lenses can transform commercial imaging systems, e.g., smartphones and webcams, into powerful, low-cost, handheld microscopes. To date, the reproducible fabrication of polymer lenses is still a challenge as they require controlled dispensing of viscous liquid. This paper reports a reproducible lens fabrication technique using liquid mold with programmable curvature and off-the-shelf materials. The lens curvature is controlled during fabrication by tuning the curvature of an interface of two immiscible liquids [polydimethylsiloxane (PDMS) and glycerol]. The curvature control is implemented using a visual feedback system, which includes a software-based guiding system to produce lenses of desired curvature. The technique allows PDMS lens fabrication of a wide range of sizes and focal lengths, within 20min. The fabrication of two lens diameters: 1 and 5mm with focal lengths ranging between 1.2 and 11mm are demonstrated. The lens surface and bulk quality check performed using X-ray microtomography and atomic force microscopy reveal that the lenses are suitable for optical imaging. Furthermore, a smartphone microscope with ∼1.4-μm resolution is developed using a self-assembly of a single high power fabricated lens and microaperture. The lenses have various potential applications, e.g., optofluidics, diagnostics, forensics, and surveillance.

EnLightenment: High resolution smartphone microscopy as an educational and public engagement platform

We developed a simple, cost-effective smartphone microscopy platform for use in educational and public engagement programs. We demonstrated its effectiveness, and potential for citizen science through a national imaging initiative, EnLightenment. The cost effectiveness of the instrument allowed for the program to deliver over 500 microscopes to more than 100 secondary schools throughout Scotland, targeting 1000’s of 12-14 year olds. Through careful, quantified, selection of a high power, low-cost objective lens, our smartphone microscope has an imaging resolution of microns, with a working distance of 3 mm. It is therefore capable of imaging single cells and sub-cellular features, and retains usability for young children. The microscopes were designed in kit form and provided an interdisciplinary educational tool. By providing full lesson plans and support material, we developed a framework to explore optical design, microscope performance, engineering challenges on construction and real-world applications in life sciences, biological imaging, marine biology, art, and technology. A national online imaging competition framed EnLightenment ; with over 500 high quality images submitted of diverse content, spanning multiple disciplines. With examples of cellular and sub-cellular features clearly identifiable in some submissions, we show how young public can use these instruments for research-level imaging applications, and the potential of the instrument for citizen science programs.

EnLightenment: High resolution smartphone microscopy as an educational and public engagement platform

We developed a simple, cost-effective smartphone microscopy platform for use in educational and public engagement programs. We demonstrated its effectiveness, and potential for citizen science through a national imaging initiative,EnLightenment. The cost effectiveness of the instrument allowed for the program to deliver over 500 microscopes to more than 100 secondary schools throughout Scotland, targeting 1000’s of 12-14 year olds. Through careful, quantified, selection of a high power, low-cost objective lens, our smartphone microscope has an imaging resolution of microns, with a working distance of 3 mm. It is therefore capable of imaging single cells and sub-cellular features, and retains usability for young children. The microscopes were designed in kit form and provided an interdisciplinary educational tool. By providing full lesson plans and support material, we developed a framework to explore optical design, microscope performance, engineering challenges on construction and real-world applications in life sciences, biological imaging, marine biology, art, and technology. A national online imaging competition framedEnLightenment;with over 500 high quality images submitted of diverse content, spanning multiple disciplines. With examples of cellular and sub-cellular features clearly identifiable in some submissions, we show how young public can use these instruments for research-level imaging applications, and the potential of the instrument for citizen science programs.

Open-source do-it-yourself multi-color fluorescence smartphone microscopy.

Fluorescence microscopy is an important technique for cellular and microbiological investigations. Translating this technique onto a smartphone can enable particularly powerful applications such as on-site analysis, on-demand monitoring, and point-of-care diagnostics. Current fluorescence smartphone microscope setups require precise illumination and imaging alignment which altogether limit its broad adoption. We report a multi-color fluorescence smartphone microscope with a single contact lens-like add-on lens and slide-launched total-internal-reflection guided illumination for three common tasks in investigative fluorescence microscopy: autofluorescence, fluorescent stains, and immunofluorescence. The open-source, simple and cost-effective design has the potential for do-it-yourself fluorescence smartphone microscopy.

Smartphone Magnification Attachment: Microscope or Magnifying Glass

Today smartphones and tablets do not merely pervade our daily life, but also play a major role in STEM education in general, and in experimental investigations in particular. Enabling teachers and students to make use of these new techniques in physics lessons requires supplying capable and affordable applications. Our article presents the improvement of a low-cost technique turning smartphones into powerful magnifying glasses or microscopes. Adding only a 3D-printed clip attached to the smartphone’s camera and inserting a small glass bead in this clip enables smartphones to take pictures with up to 780x magnification (see Fig. 1). In addition, the construction of the smartphone attachments helps to explain and examine the differences between magnifying glasses and microscopes, and shows that the widespread term “smartphone microscope” for this technique is inaccurate from a physics educational perspective.

Investigating Dissolution and Precipitation Phenomena with a Smartphone Microscope

A novel smartphone microscope can be used to observe the dissolution and crystallization of sodium chloride at a microscopic level. Observation of these seemingly simple phenomena through the microscope at 100× magnification can actually reveal some surprising behavior. These experiments offer the opportunity to discuss some basic concepts such as how the morphological features of the crystals dictate how the dissolution process proceeds, and how materials can be purified by recrystallization techniques.

A Comparative Study Between Smartphone-Based Microscopy and Conventional Light Microscopy in 1021 Dermatopathology Specimens

ContextThe incorporation of high-resolution cameras into smartphones has allowed for a variety of medical applications including the use of lens attachments that provide telescopic, macroscopic, and dermatoscopic data, but the feasibility and performance characteristics of such a platform for use in dermatopathology have not been described.ObjectiveTo determine the diagnostic performance of a smartphone microscope compared to traditional light microscopy in dermatopathology specimens.DesignA simple smartphone microscope constructed with a 3-mm ball lens was used to prospectively evaluate 1021 consecutive dermatopathology cases in a blinded fashion. Referred, consecutive specimens from the community were evaluated at a single university hospital. The performance characteristics of the smartphone platform were calculated by using conventional light microscopy as the gold standard. The sensitivity and specificity for the diagnosis of melanoma, nonmelanoma skin cancers, and other miscellaneous conditions by the phone microscopy platform, as compared with traditional light microscopy, were calculated.ResultsFor basal cell carcinoma (n = 136), the sensitivity and specificity of smartphone microscopy were 95.6% and 98.1%, respectively. The sensitivity and specificity for squamous cell carcinoma (n = 94) were 89.4% and 97.3%, respectively. The lowest sensitivity was found in melanoma (n = 15) at 60%, although the specificity was high at 99.1%. The accuracy of diagnosis of inflammatory conditions and other neoplasms was variable.ConclusionsMobile phone–based microscopy has excellent performance characteristics for the inexpensive diagnosis of nonmelanoma skin cancers in a setting where a traditional microscope is not available.