#autofluorescence

[aardwolfpack]

A fluorescent ant by Dr. Jan Michels.

[conspectusargosy]

Salvia mellifera, black sage, is a perennial shrub in the mint/sage family native from central California down through the top of Baja California. It is part of the cast of plants present in coastal sage and chaparral habitat, thriving only in a specific range of rainfall in a mediterranean climate. The flowers host a variety of pollinators including butterflies, hummingbirds, and native bees and its seeds, like other Salvia species, are abundant and provide food for animals and birds. The fragrant leaves contain chemicals used by the Chumash to treat pain and a unique spicy honey is derived from the plant in the modern day.

[biologist4ever]

Plant root growth under microscope

[myrawjcsmicasereports]

Applications in Light-induced Spectroscopy with violet LED lamp: Autofluorescence by Etcheverry in Journal of Clinical Case Reports Medical Images and Health Sciences.

Abstract

Introduction Materials and methods LED lamp construction and its photometric/radiometric characterization Results and discussion Converging lens design: a) Schematic drawing from lens data sheet; b) drawing the profile using the Blender 2.76 program; c) Application of spin tool to obtain the solid of revolution of the profile drawn in b); d) simulated lens with better definition than c), which was exported to Zemax; e) system of lens-LED in Zemax, and analysis of the emission on a detector surface located at 20 cm of the LED; f) photograph of the real lens. number of incident rays (n), wavelength, source-surface distance, and power, were specified. A scheme of the design process can be seen in Fig.3.Blender 2.76 program; c) Application of spin tool to obtain the solid of revolution of the profile drawn in b); d) simulated lens with better definition than c), which was exported to Zemax; e) system of lens-LED in Zemax, and analysis of the emission on a detector surface located at 20 cm of the LED; f) photograph of the real lens.  Application of spin tool to obtain the solid of revolution of the profile drawn in b); d) simulated lens with better definition than c), which was exported to Zemax; e) system of lens-LED in Zemax, and analysis of the emission on a detector surface located at 20 cm of the LED; f) photograph of the real lens. 

The main objective of the present study was to develop a violet LED light source suitable for medical application devoted to the diagnostic and treatment of non-melanoma skin cancers. For this propose, we constructed a 12 W violet LED lamp (with maximum emission peak at 405 nm) made up of four mobile 3 W LED. The LED lamp was characterized employing a spectrometer coupled to an optical fiber. The irradiance, the radiant power and the radiant intensity for different distances between the lamp and the detector was assessed. Data were compared with a simulated LED lamp by using the Zemax optic software for the realization of luminaries with the desired characteristics as required for medical applications.

The developed lamp in combination with a portable spectrometer was employed under medical supervision to detect differences in the emission spectrum of skin suspicious regions and healthy ones of a patient with non-melanoma skin cancer. The light of the LED lamp was concentrated in the examined region by means of the proper focusing of the four individual LEDs, rendering a high intensity homogeneous spot. Thus, endogenous chromophores at the skin were excited, and the emission intensity appeared to be enough to detect an enhanced peaked structure around 600 nm for some suspicious regions before treatment, and that were absence in healthy regions. These differences can be related to the augmented protoporphyrin IX content in neoplastic regions.

Results presented in this work indicates the usefulness of the developed LED lamp as an easyto-use device for the non-invasive detection of skin neoplastic pathologies, before and after treatment, with the aim of better define the malignant regions as well as predict the outcome of a certain treatment.

Key words: Non-melanoma skin cancer, one-point fluorescence detection, violet LED lamp.

The early detection of a neoplastic disease, as well as the development of more efficient treatments, are crucial for improving the survival rate. A variety of new and emerging diagnostic strategies based on spectroscopic techniques such as non-invasive one-point fluorescence (PF) detection, are available to improve the screening procedure [1,2]. PF technique provides useful information for monitoring the evolution of the abundance and distribution of endogenous fluorophores associated with the neoplastic disease in low-pigmented superficial neoplasia [3,4].

Currently, the use of devices emitting light is an indispensable element of many non-invasive diagnostic procedures. Non-invasive fluorescence detection techniques are available for point measurement which provides information useful for monitoring the abundance and location of the fluorophores in lowpigmented superficial neoplasia. These fluorophores could be classified into three main categories: endogenous fluorophores that are responsible for native tissue fluorescence (autofluorescence) like keratin, porphyrins, vitamins and lipids [1,3,5-8]; fluorophores synthetized in the tissue after external administration of a precursor molecule, specifically protoporphyrin IX (PpIX) induced by  5aminolevulinic acid (ALA) [9]; and fluorophores administrated as exogenous drug such as tetra(mhydroxyphenyl) chlorin (mTHPC), a typical photosensitizer used in photodynamic therapy (PDT) [10]. In this case, because of the optimal dose during and after PDT are extremely variable [2], the prognosis of PDT treated patients is required.  In this vein, it has been reported that fluorescence measurements of PpIX in the skin of patients showed changes in PpIX levels during therapy (photobleaching) and was a good predictor of clinical results [11].

The influence of tissue optics on fluorescence measurements were comprehensively reviewed in literature [12]. Thus, there are important properties that influence fluorescence measurements in tissues, namely, attenuation of light in the tissue, presence of endogenous fluorophores which cause autofluorescence, absorption, scattering, and reflection of light.  Light-induced autofluorescence spectroscopy is a very attractive tool for early diagnosis of cancer due to its high sensitivity, easy-to-use methodology for measurements, lack of need for contrast agents’ application on the tissue under investigation, possibilities for real time measurements and non-invasive tumor detection [3, 5]. This procedure allows the discrimination between pathological and normal tissue regions based on the differences in the content and metabolic state of a fluorescent compound. Fluorescence measurements are, in principle, straightforward. By filtering the reflected excitation light, it is possible to obtain rather strong signals from the tissues. Problems arise for interpreting the fluorescence signal as the fluorescence peaks are mostly broad and various fluorophores can overlap. Different optical properties in excitation and detection wavelengths also influence the signal. Furthermore, for the excitation wavelength range, generally in the UV region, the penetration depth is a few hundred micrometers, while for detection, the visible region is used, and light can go more than a couple of millimeters. These facts suggest that the intensity of fluorescence cannot be directly interpreted as the corresponding fluorophore concentration. Another consequence is that the measurement configuration, both in excitation and detection, strongly influences not only the signal level but also the shape of the spectrum. Moreover, when the lesion is highly pigmented the obtained fluorescence signal is too weak to be used for diagnostics. In such cases exogenous fluorescent markers could be applied [12,13].

In this work, we develop a violet LED light source suitable for medical application devoted to the diagnostic and treatment of non-melanoma skin cancers. The developed lamp, in combination with a portable spectrometer, is employed to detect differences between the emission spectrum of skin regions with non-melanoma skin cancer and healthy ones at the head of a patient.

Software for the LED lamp modeling:ZemaxOpticStudio 18.4.1 is a commonly used optical design program used for lighting systems design and image analysis [14-17]. Finished designs of optical devices can be exported as manufacturing-ready results such as ISO drawings and common CAD file formats. We simulated the LEDs source utilizing Blender 2.76 to create a three-dimensional model of the lens and the ZemaxOpticStudio 18.4.1 to describe the light emission performance. For this purpose, the following variables were considered:  numbers of simulated rays (n), distance between the source and the sensing surface (d), dimension (12 cm x 12 cm) and number of pixels on the sensing surface (100 x 100 pixels), emission wavelengths of the source, its output power (W), and the light diffusion considered through the Lambertian fractions (1/10, 1/12, 0.55/1). Furthermore, we set the wavelength profile for the light source with a central maximum that falls off following a Gaussian curve. Results from simulations were utilized for guiding the LED lamp construction and then the outcome of the real and simulated lamps were compared.

The LED lamp was constructed employing four 3 W LEDs, coupled to individual lenses and heat sinks. Each LED is fed by an independent electrical circuit with variable electric power to modulate the light intensity.

To characterize the constructed LED lamp, illuminance/irradiance parameters such as irradiance (W/cm2), radiant power (W) and radiant intensity (W/sr) were determined. For this purpose, an AvaSpec-ULS3648-USB2-UA-25 spectrometer with a CCD detector (3648 pixels) provided with a DUV3648 filter for reduction of second-order effect, and coupled to an optical fiber (200 μm in diameter and 2 m in length) for UV / VIS / NIR range (250- 2500 nm), was utilized.  A cosine law CC-VIS / NIR diffuser was adapted to the fiber optic lens. The signal was registered by Avasoft-Full Software. The optical fiber couple to the spectrometer was located at one end of an optical bench, and the light source at a known distance, at the other end of the bench (Fig.1).

Spectroscopic measurements on the skin of a patient: The lesions on the skin are registered employing a point monitoring system.

Scheme of the experimental arrangement for characterizing the LED lamp. At one end of the optical bench the LED source is located, and the tip of the fiber optic connected to the spectrometer, is placed at the other end, at a known distance. The spectrometer records the illuminance and allows expressing radiometric analogue units.

The excitation light come from the violet LED source developed, and the detection is made by an optical fiber measuring in the 300-800 nm range. The fiber during measurement is supported by hand on the surface of the targeted detection tissue (Fig.2.).  For comparison, emission spectra from suspicious skin regions, as well as healthy zones were registered.

Light source Modeling:The final light pattern generated by a LED is the result of the sum of the light directly refracted by the encapsulating lens, the light internally reflected inside the lens, and the light from the reflecting cup [20]. The first step to carry out the simulation is to build the emitting source based on a LED and the corresponding lens. Thus, an 8 ° lens was designed using the Blender 2.76 program. In this software, by drawing the profile of the lens and using the tool “spin”, a solid of revolution was created. The draw lens was exported as CAD file to Zemax OpticStudio where PMMA for lens material, Lambertian lens type (Lambertian fraction) [18],

Scheme of autofluorescence point monitoring system: the excitation is external to the detector, and the detected emission light travels apart through an optical fiber.

Application of spin tool to obtain the solid of revolution of the profile drawn in b); d) simulated lens with better definition than c), which was exported to Zemax; e) system of lens-LED in Zemax, and analysis of the emission on a detector surface located at 20 cm of the LED; f) photograph of the real lens. Multiple variations were tested to model the exit beam of the light source. For example, the radiant intensity is represented for different variables (Fig.4). For n = 50.000 and Lambertian fraction 1/10, the image achieves acceptable definition on the detector surface (Fig.4c).Construction of the LED lamp: Each 3 W LED coupled to a heat sink and a lens was mounted on a mobile arm which can be displace in order to focus the lens-LED-heat sink systems on a convenient small region . The real image of the illumination area generated by the LED source with central axis-oriented lenses at 20 cm distance, is shown in Fig.5e.Comparison between simulated and constructed LED lamp:We obtained the simulated irradiance from the source (W/cm²) for different Lambertian fraction and compared it with the irradiance of the constructed LED lamp measured with the spectrometer described above. For a Lambertian. Radiant intensity for different n and Lambertian fractions for d = 20 cm and detector area 12 cm x 12 cm, i.e., 100 x 100 pixels: a) n = 10,000, Lambertian fraction: 1/10; b) n = 50,000, Lambertian fraction: 0.55 / 1; c) n = 50,000, Lambertian fraction: 1/10.

Application of the violet LED source to detect non-melanoma skin cancer:As know, the PpIX exhibits maximum light absorption (the Soret peak) at 405 nm and an emission peak in the red region. PpIX concentration is expected to be increased in pathological skin [21]. For this propose, we used the constructed violet LED lamp with maximum excitation peak at 405 nm to illuminate suspicious points in the head of a patient with a non-melanoma skin cancer before (Figure 7a) and after (Figure 7b) the treatment with a red medical laser emitting at 652 nm.

Photographs of the lesion at the head of a patient before (a) and after (b) the treatment with a clinical red laser source. (c) Average fluorescence spectrum from lesions before treatment (black circles), and fluorescence spectrum from the skin of the hand (red circles) taken as healthy skin. The reference curve obtained from the decaying tail of the peak at 505 nm is shown in dashed lines. (d) Fluorescence spectrum from treated lesions.  After subtracting the reference curve, a rather clear peak in the 600 – 700 nm range related to an increased amount of PpIX in untreated pathological regions, can be distinguished in comparison to treated ones, as depicted in the insets.

The fluorescence intensity of the PpIX was recorded with a spectrometer couple to an optical fiber with the scheme showed in figure 2. The average spectrum from suspicious areas as well as regions of healthy skin exhibits an emission peak at 505 nm, being the intensity of suspicious points greater than healthy skin area. Furthermore, suspicious points exhibit another structured peak in the 600 - 700 nm range (Fig. 7c, black squares). The later feature appears as a shoulder for the case of the average emission spectrum taken from the hand skin (Fig. 7c, red squares) or from different treated points at the head (Fig. 7d). A reference curve can be obtained from the decaying tail of the peak at 505 nm to be subtracted from emission intensity at the 550 – 700 nm range [22]. The inset in Fig. 7d shows a rather clear peak, while a noisy signal is obtained for red laser treated regions (inset in Fig. 7c). This description is consistent with the increased amount of PpIX in pathological regions in comparison with a healthy skin and treated regions. A similar interpretation has been proposed in literature [23].

Fluorescence spectroscopy with 405 nm excitation for the detection of non-melanoma tumors in vivo has been reported in literature [4]. In this work, authors have demonstrated the correlation between cancer detection diagnostic accuracy and skin phototype of the patient. With increasing of cutaneous pigmentation, the diagnostic accuracy for tumor detection and differentiation from normal skin fall down. In our case, we followed the fluorescence on a patient with non-melanoma neoplastic disease before and after the treatment. It can be detected a significant decrease in the fluorescence in the 600 – 700 nm range, for treated regions (Figure 7). We employed a point monitoring system like that employed in reference [24]. There, the pharmacokinetics of PpIX in skin tumors, i.e., basal cell carcinomas (BCC) and T-cell lymphomas, as well as in normal skin has been studied utilizing red (652 nm) laser induced fluorescence for the in vivo monitoring. Results from this research showed that the emission spectra indicated the build-up of the PpiX and the tumor selectivity in the superficial layers of the area planned for treatment.

[sitting-on-me-bum]

Autofluorescence of the tip of the stamens of flowers at 405 nm, 488 nm, and 561 nm, emitting a greenish blue and emerald green color like peacock feathers.

By Mei Yu (China)

Light Microscopy Awards

[thereissomethingunderthestairs]

Hey everyone go to bonecrate dot gov and use promo code Sighialmr for 20 Us dollars off your first monthly crate that ill send you (note some boxes may contain violations of your states protected species act and i am not to be held liable)

[reportwire]

Fresh understanding of ageing in the brain offers hope for treating neurological diseases

Newswise — Scientists from the Trinity Biomedical Sciences Institute (TBSI) have shed new light on ageing processes in the brain. By linking the increased presence of specialised immune cells to conditions such as Alzheimer’s disease and traumatic brain injury for the first time, they have unearthed a possible new target for therapies aimed at treating age-related neurological diseases. The…

[thoughtportal]

Microscopic tardigrades—plump, eight-legged arthropod relatives—are nearly indestructible, and their durability superpower may have helped them weather the deadliest mass extinction in Earth’s history, according to a new fossil analysis.

Tardigrades, also called water bears, can withstand extreme heat, cold, pressure and radiation. Two major tardigrade lines survive hostile environments through a process called cryptobiosis, in which they lose most of their body’s water and enter a suspended metabolic state.

The tardigrade Beorn leggi, photographed with transmitted light under a compound microscope (A), photographed with autofluorescence under a confocal microscope (B) and represented as a schematic drawing (C).

For a new study in Nature Communications Biology, Mapalo and his colleagues used high-contrast microscopy to uncover previously unseen details in both specimens’ claws, “which are very important taxonomic characteristics in tardigrades,” Mapalo says. Tardigrade body plans have varied little for millions of years, so the small visible differences in claw shape offered crucial information about where in the tardigrade family tree these amber-trapped fossils belonged, says University of Chicago organismal biologist Jasmine Nirody (whose own work has also examined tardigrade claws).

The authors determined the smaller tardigrade was a new genus and species: Aerobius dactylus. They also revised B. leggi’s description and classification based on its claw joints. Both species were placed in the same tardigrade superfamily Hypsibioidea, and B. leggi was moved into the family Hypsibiidae. Reclassifying B. leggi based on previously unseen details clarified its relationship to living tardigrades.

The resulting family tree recalibration allowed the researchers to calculate when the two tardigrade lines that perform cryptobiosis could have diverged—putting a latest date on the likely acquisition of that skill. Their work suggests cryptobiosis appeared in tardigrades during the Carboniferous period (359 million to 299 million years ago), predating a deadly event known as the Permian extinction, or the “Great Dying,” which occurred about 252 million years ago. The authors suggest that cryptobiosis may have helped tardigrades survive the event, which wiped out 96 percent of marine life and 70 percent of life on land.

Cryptobiosis’s evolution is challenging to study, partly because tardigrade fossils are so scarce, Mapalo says. Additional fossil discoveries will help scientists pin down details about the appearance of this unique survival strategy. By sharing this result, he says, “we hope we will entice other people to be aware that fossil tardigrades exist and there are still more to be found.”

Editor’s Note (9/16/24): This article was edited after posting to correct the descriptions of the how the findings helped researchers reclassify the tardigrade family tree and when Beorn leggi was first described.

[drafthearse]

Hazelnut (male flower), overlay of 7 channel autofluorescence microscopy. Imaged with ZEISS Axio Observer, Axiocam, Colibri 7.

[bpod-bpod]

Simple Fix

Treating whole samples for study, such as embryos, whole organisms, dissected or cultured tissues, with the well-known cell sample fixative glutaraldehyde enhances autofluorescence – the natural emission of light from some cell components – revealing structural details in 3D

Read the published research article here

Image from work by Miika Niemeläinen and Anna-Mari Haapanen-Saaristo, and colleagues

Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland

Image originally published with a Creative Commons Attribution 4.0 International (CC BY 4.0)

Published in and on the cover of Biology Open, November 2024

You can also follow BPoD on Instagram, Twitter and Facebook

[eudikot]

you're a researcher!! that's so cool! if you don't mind me asking, what do you do?

Thank you for the ask, I love talking about my research!! Currently, I'm working on studying barley and its interaction with Pseudomonas fluorescens using a clear hydrogel media instead of soil. I got interested in this project because I think that the ability to grow plants in hydrogel instead of soil to study their roots is such a cool thing, and since I'm majoring in both plant and microbial biotechnology adding the bacterial aspect helps bring everything I'm working on all together (and is something I can make a paper out of). Then to add biotechnology into the equation, we added GFP (green fluorescent protein) into the bacteria, which causes them to glow green when hit with UV light and viewed under a filter. This makes it easier to see the bacteria on the roots.

Because this projects excites me so much and has some cool pictures, I have to share some. The first picture are roots without any bacteria and the second one has the bacteria. Feel free to take a second and see if you can identify any differences between the two images.

The first noticeable thing I see is within the hydrogel itself. The non-bacterial control has a much darker background, likely because there are no bacteria to fluoresce in it. However, you may notice that the roots still have a glow to them. That's actually because plants have autofluorescence based on the proteins/chemicals they produce which was visible through the filter. Now, the things that stand out to me on the bacterial roots compared to the regular ones are that they almost have a rougher appearance, likely due to the bacteria colonies growing on it. And then there is the bright spots of bacteria that are not present on the bacteria-free roots. Seeing such a stark difference so easily (since I have been looking at images of these for a while now and know what I'm looking for) honestly blew me away when this actually seemed to work.

Also, just to talk about autofluorescence again, the chlorophyll in the leaves make the plants so bright in this system. I mean look at that leaf!! I never though I'd see such a pretty plant (the last one looks slightly different from the rest because it was taken with my phone instead of the microscope camera, but catches the entire autofluorescence really well).

And to wrap this whole spiel up, let me give a little background on where I started with doing research. I actually started out by doing data analysis on differential gene expression, or the differences in expression under different conditions. A lot of analysis uses an "out of 100%" model if you will, and because of this if one gene changes expression a lot but everything else stays the same, it'll look like all those genes have lower expression compared to the one that changed even if they might not. You can see how that might be a bit of a problem. I was testing a new R package that would compare gene expression in a different way to bypass this problem and more clearly see what is actually happening to different genes.

Because I was just helping a bit on this project I never saw its conclusions before moving onto other things. I took a side off of that project to get a grant and do a systematic review on how other researchers are describing their gene expression clustering, since in R you need to define the clustering method (how different groups are compared to one another) and the number of clusters you want. Because these are human entered and can change the outcome of the data you're analyzing, it's important that what you do can be replicated, but a lot of researchers were very vague in even what packages they used to cluster. I'm still finishing up that work so hopefully I'll be able to publish a paper on it soon.

Then I've also had fun helping some of our grad students with barley biomass measurements and, my absolute favorite, soil microbe DNA extraction. That student is using differences in the soil microbiome to see if it has an impact on the growth of the barley, and is actually what inspired me to student plant-microbe interactions!

[retinography]

AMD: Disciform scar

In advanced age-related macular degeneration (AMD), a disciform scar represents the end stage of neovascular AMD. Optical Coherence Tomography (OCT) shows hyperreflective fibrotic tissue replacing normal retinal layers, with possible subretinal fluid or retinal thinning. Fundus autofluorescence (FAF) reveals hypoautofluorescence due to retinal pigment epithelium (RPE) atrophy, with surrounding…

[divinejhonson]

Retinal Imaging Technology: Revolutionizing Medical Retina Diagnosis

In the evolving landscape of ophthalmology, retinal imaging technology has emerged as a groundbreaking tool in the diagnosis and management of various retinal conditions. At the forefront of this revolution is Amanat Eye Hospital, celebrated as the Best Eye Hospital in Rawalpindi, which offers state-of-the-art diagnostic and treatment services for retinal disorders. This article delves into how retinal imaging is transforming the field of Medical Retina care, highlighting its importance and the innovative advancements that make it indispensable.

Understanding Medical Retina and Its Challenges

The retina, a delicate layer of tissue at the back of the eye, plays a critical role in vision by converting light into neural signals. Disorders such as diabetic retinopathy, macular degeneration, and retinal detachment can severely impair vision if not diagnosed and treated promptly. Medical Retina specialists focus on the non-surgical diagnosis and treatment of these conditions, relying heavily on advanced imaging technologies to achieve accurate results.

Despite its critical role, diagnosing retinal conditions has historically been challenging due to the retina's intricate structure and location. Traditional methods often lacked precision, making early detection difficult. However, the advent of retinal imaging technology has drastically changed this scenario.

The Role of Retinal Imaging in Modern Ophthalmology

Retinal imaging technology encompasses a range of non-invasive techniques designed to capture high-resolution images of the retina. These methods provide comprehensive insights into the retina's health, enabling early detection, precise diagnosis, and effective monitoring of diseases.

Key techniques include:

Optical Coherence Tomography (OCT): OCT provides cross-sectional images of the retina, allowing specialists to assess its layers in exquisite detail. It’s instrumental in diagnosing conditions like macular edema and age-related macular degeneration.

Fundus Photography: This method captures detailed images of the retina's surface, aiding in the detection of abnormalities such as diabetic retinopathy and retinal tears.

Fluorescein Angiography (FA): By injecting a fluorescent dye into the bloodstream, FA highlights blood flow in the retina, helping identify vascular disorders.

Ultra-Widefield Imaging: This technique provides a broader view of the retina, crucial for diagnosing peripheral retinal diseases.

Autofluorescence Imaging: This non-invasive technique detects changes in the retinal pigment epithelium, an essential layer for maintaining retinal health.

Benefits of Retinal Imaging Technology

The integration of retinal imaging into Medical Retina care has brought numerous benefits, enhancing both patient outcomes and clinical efficiency:

Early Detection of Diseases: Retinal imaging allows for the early identification of subtle changes in retinal structure, facilitating timely intervention.

Improved Diagnostic Accuracy: High-resolution images enable specialists to make precise diagnoses, reducing the risk of misdiagnosis.

Enhanced Monitoring: Regular imaging helps track disease progression and evaluate the effectiveness of treatments, ensuring optimal care.

Non-Invasive and Painless: Most retinal imaging techniques are non-invasive, making them comfortable and safe for patients.

Patient Education: Visual representation of retinal conditions helps patients better understand their diagnosis and treatment plans.

Retinal Imaging at Amanat Eye Hospital

As the Best Eye Hospital in Rawalpindi, Amanat Eye Hospital is a pioneer in utilizing cutting-edge retinal imaging technology. The hospital’s Medical Retina department is equipped with the latest diagnostic tools, ensuring accurate and efficient care for patients.

Advanced Equipment: Amanat Eye Hospital employs state-of-the-art devices such as spectral-domain OCT and ultra-widefield imaging systems, setting a benchmark for quality care.

Expert Specialists: The hospital’s team of highly trained Medical Retina specialists leverages imaging technology to deliver personalized treatment plans.

Comprehensive Services: From routine screenings to advanced diagnostics, Amanat Eye Hospital offers a full spectrum of retinal care services under one roof.

Innovations in Retinal Imaging Technology

The field of retinal imaging continues to evolve, with ongoing innovations pushing the boundaries of what is possible:

Artificial Intelligence (AI) Integration: AI algorithms are being developed to analyze retinal images, offering faster and more accurate diagnoses. This technology is particularly promising for mass screenings in diabetic retinopathy and macular degeneration.

3D Imaging: Three-dimensional retinal imaging provides a detailed view of retinal layers, improving diagnostic precision.

Portable Devices: Portable retinal imaging devices are making diagnostics accessible in remote and underserved areas.

Real-Time Imaging: Emerging technologies now allow for real-time visualization of retinal structures, enhancing intraoperative precision during treatments.

Adaptive Optics: This technique corrects optical aberrations, delivering ultra-high-resolution images of individual retinal cells.

Common Retinal Conditions Diagnosed with Imaging

Retinal imaging is pivotal in diagnosing a range of conditions, including:

Diabetic Retinopathy: Retinal imaging detects early signs of damage caused by diabetes, such as microaneurysms and hemorrhages.

Age-Related Macular Degeneration (AMD): Imaging identifies drusen deposits and changes in the macula, aiding in early AMD detection.

Retinal Detachment: High-resolution imaging highlights tears or separations in the retina, enabling prompt surgical intervention.

Macular Edema: OCT scans reveal fluid accumulation in the macula, a common complication of diabetes and other conditions.

Retinal Vascular Occlusions: Fluorescein angiography identifies blockages in retinal blood vessels, guiding treatment decisions.

Tips for Patients Undergoing Retinal Imaging

If you are scheduled for retinal imaging, here are some tips to ensure a smooth experience:

Follow Pre-Procedure Instructions: Some imaging techniques require dilated pupils. Follow your doctor’s guidance to prepare for the procedure.

Ask Questions: Don’t hesitate to ask your specialist about the imaging process and what to expect.

Bring Sunglasses: Pupil dilation can make your eyes sensitive to light, so bring sunglasses to wear afterward.

Understand the Results: Request your specialist to explain the images and how they relate to your condition.

Conclusion

Retinal imaging technology has revolutionized the diagnosis and management of retinal conditions, offering unprecedented accuracy and efficiency. Amanat Eye Hospital, recognized as the Best Eye Hospital in Rawalpindi, is at the forefront of this transformation, providing exceptional care through its advanced imaging capabilities and expert Medical Retina specialists.

[headneckroboticsurgery]

Autofluorescence

Fluorescence and autofluorescence is, no doubt, the hot-topic in thyroid surgery. Fluorescence is a physical phenomenon where a substance absorbs light or electromagnetic radiation at one wavelength and then re-emits it at a longer wavelength. When a material absorbs photons, electrons in the material’s atoms or molecules are elevated from their ground state to an excited state. After a very…

[dawntechnologies]

Parylene Coating: The Future of Optical Biointerfaces in Photonics

Parylene is a trade name for a generic polymer material that is characterized by rather useful properties. Parylene C and Parylene N are two of the most frequently used Parylenes Parylene C is appreciated for its high pinhole resistance and barrier characteristics and Parylene N is appreciated for that it is biocompatible and has low autofluorescence.

Source URL : https://relxnn.com/parylene-coating-the-future-of-optical-biointerfaces-in-photonics/

[in-viro-veritas]

Autofluorescence, my old nemesis...