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Schematics from the paper, showing a new noninvasive optical method tracks real‑time changes in tissue water during hemodialysis.

Schematics from the paper, showing a new noninvasive optical method tracks real‑time changes in tissue water during hemodialysis.

Optical sensors = making treatment safer! 💡🩺

Researchers from @bostonu.bsky.social & @bmchealthsystem.bsky.social developed a hybrid near‑infrared optical system that noninvasively tracks tissue water dynamics during hemodialysis.

Published in #BiophotonicsDiscovery - https://bit.ly/4rk74YB

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Mouse embryos viewed through different culture dishes.

Mouse embryos viewed through different culture dishes.

What if embryo selection in IVF came down to seeing a little more clearly? 👶🔬

A new hydrogel dish sharpens embryo imaging, offering hope for more successful IVF: https://bit.ly/46Wk2E7 #BiophotonicsDiscovery

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Segmentation results from the study.

Segmentation results from the study.

Published in #BiophotonicsDiscovery: Machine-learning-based tumor segmentation and classification using dynamic optical contrast imaging for thyroid cancer 🩺⚛️💡

Read the article: https://bit.ly/3MrH7aB

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A woman wearing a blazer and glasses sits at a table in front of a window, smiling at the interviewer.

A woman wearing a blazer and glasses sits at a table in front of a window, smiling at the interviewer.

"Biophotonics has reached a level of maturity where computational methods, artificial intelligence, and integrated photonics can play transformative roles."

🎬 Dr. Laura Marcu reflects on her career + advancements in medicine in #BiophotonicsDiscovery interview: https://bit.ly/4b0lRRj #WomenInSTEM

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An array of stained and unstained skin biopsy sections. The top samples are stained pink and the bottom nine are stained blue and yellow on a black background.

An array of stained and unstained skin biopsy sections. The top samples are stained pink and the bottom nine are stained blue and yellow on a black background.

Can light reveal hidden differences in connective tissue disorders?

Researchers use polarized light imaging to tell classical & hypermobile Ehlers–Danlos syndromes apart, without dyes.

Explore the study in #BiophotonicsDiscovery: https://bit.ly/4qKPw70

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How can surgeons spot cancer in real time during surgery? 🩺

AI + label‑free optical imaging to distinguish thyroid cancer from healthy tissue using natural light signals, helping guide more precise tumor removal.

Read the #BiophotonicsDiscovery article summary: https://bit.ly/46cxPG3

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The #SPIEBiOS Student 3-Minute Poster Presentations brought rapid-fire research to the Career Hub Stage at #PhotonicsWest, judged by editors from #SPIE_JBO, #Neurophotonics, and #BiophotonicsDiscovery.

Congrats to all the presenters! 🎉

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Congrats to Guosong Hong, a/prof @stanfordbrain.bsky.social, on receiving the inaugural #BiophotonicsDiscovery Impact of the Year Award!

Hong is honored for achieving optical transparency in live animals via absorbing dyes, a transformative advance in #biophotonics. 💡

spie.org/news/stanfor...

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Some topics don’t get the attention they deserve, and our Sunday evening Biophotonics Focus plenary session is changing that! ✨

Anita Mahadevan-Jansen introduces this year’s topic: Light-based Technologies for Reproductive, Maternal, & Neonatal Health.

#BiophotonicsDiscovery #PhotonicsWest

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DoseOptics BeamSite camera technology.

DoseOptics BeamSite camera technology.

How do you make radiation therapy visible? 💡

Brian Pogue, President and Co‑Founder of DoseOptics LLC, explains DoseOptics’ journey to a simple, powerful idea: show the beam so therapists can verify treatment in real time.

Read the full #BiophotonicsDiscovery article here: https://bit.ly/4pzg3DL

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Illustration showing an expanded view of a flexible electronic device with labeled components, leading to a final image where the device is worn on a wrist.

Illustration showing an expanded view of a flexible electronic device with labeled components, leading to a final image where the device is worn on a wrist.

Wearable sensors often struggle to deliver accurate readings across diverse skin tones, a gap that impacts both consumer devices & clinical care.

Researchers at Brown University present a solution: polarized light. 💡

Read the #BiophotonicsDiscovery article: https://bit.ly/49betSw

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Figure from the technical paper. Three example cells and their respective masks.

Figure from the technical paper. Three example cells and their respective masks.

🧠 Researchers from @ucirvine.bsky.social & @ucsandiego.bsky.social introduce a cost-efficient method to investigate cellular morphology changes in response to mechanical stress by combining LIS + quantitative phase microscopy.

#OpenAccess #BiophotonicsDiscovery paper here: https://bit.ly/4aNsyYv 💡

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Graphic displaying flowing red blood cells being imaged under the high-throughput quantitative phase microscopy.

Graphic displaying flowing red blood cells being imaged under the high-throughput quantitative phase microscopy.

🩸 Researchers at @duke-university.bsky.social are using GPUs + Quantitative Phase Microscopy (QPM) to study blood cells in real time. QPM uses optical holography to measure cell shape + size without dyes, giving clearer insights.

Read the #BiophotonicsDiscovery article here: https://bit.ly/4owDoWe

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Illustrative diagrams depicting optical measurements and blood flow analysis in a human finger. Panel (a) shows light scattering by blood and tissue at two phases of the heartbeat. Panel (b) outlines equations related to optical measurements. Panel (c) displays graphs for Blood Flow Index (BFI) and Photoplethysmography (PPG) across heartbeats. Panel (d) demonstrates a setup with a finger inserted into a device measuring blood flow. Panel (e) is a detailed schematic of the finger measurement device. Panel (f) compares PPG and BFI waveforms.

Illustrative diagrams depicting optical measurements and blood flow analysis in a human finger. Panel (a) shows light scattering by blood and tissue at two phases of the heartbeat. Panel (b) outlines equations related to optical measurements. Panel (c) displays graphs for Blood Flow Index (BFI) and Photoplethysmography (PPG) across heartbeats. Panel (d) demonstrates a setup with a finger inserted into a device measuring blood flow. Panel (e) is a detailed schematic of the finger measurement device. Panel (f) compares PPG and BFI waveforms.

💡 Imagine checking blood pressure without the squeeze of a cuff!

Researchers from @bostonu.bsky.social & Boston Medical Center are using light signals from skin to track blood flow. This could make monitoring hypertension easier.

#JustPublished in #BiophotonicsDiscovery: https://bit.ly/4otBDca

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A series of graphs and images displaying data analysis. The top section (a) contains four line graphs named Dataset 1 through Dataset 4, showing trends in focus correction values. The middle (b) and bottom sections display arrays of heat maps representing focus adjustment levels, with labels ranging from "no refocus" to "refocus over 2000." The heat maps transition from no refocus to increased refocus, shown in differing intensities of blue coloration.

A series of graphs and images displaying data analysis. The top section (a) contains four line graphs named Dataset 1 through Dataset 4, showing trends in focus correction values. The middle (b) and bottom sections display arrays of heat maps representing focus adjustment levels, with labels ranging from "no refocus" to "refocus over 2000." The heat maps transition from no refocus to increased refocus, shown in differing intensities of blue coloration.

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📸 Imagine scanning 1,200 cells per second—no dyes, no delays!

Using a Jetson Orin Nano + smart software, researchers turned light distortions into sharp cell images instantly. The result? Fast, label-free diagnostics.

Read the full #BiophotonicsDiscovery article here: https://bit.ly/4oUSy89

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Image showing a diagnostic model layout for oral cancer detection. The left side features input components consisting of a white light image, an autofluorescence image, and patient-level data like age and smoking habits. The center illustrates a multi-input model labeled 'Doctor', and the right side displays the model's output, a referral decision with a GradCAM++ attention map indicating areas of high to low attention in color gradations from red to blue.

Image showing a diagnostic model layout for oral cancer detection. The left side features input components consisting of a white light image, an autofluorescence image, and patient-level data like age and smoking habits. The center illustrates a multi-input model labeled 'Doctor', and the right side displays the model's output, a referral decision with a GradCAM++ attention map indicating areas of high to low attention in color gradations from red to blue.

Closing the gap in oral cancer detection. 🦷

A new smartphone-based imaging system uses AI + autofluorescence to help dentists detect oral cancer early—fitting seamlessly into routine exams.

Read the #BiophotonicsDiscovery news story here: https://bit.ly/4qRrysc

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A series of comparative images displaying the process of mask annotation and image resizing on a tongue under different lighting conditions, "White light" and "Autofluorescence image".

A series of comparative images displaying the process of mask annotation and image resizing on a tongue under different lighting conditions, "White light" and "Autofluorescence image".

Ever wonder if smartphones could help detect cancer? A new, low-cost imaging system uses light & machine learning to flag oral lesions in dental clinics, helping decide if a patient needs a specialist.

Smart tech for early diagnosis!

Read the #BiophotonicsDiscovery article: https://bit.ly/3IMWmcp

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High-accuracy tumor detection with label-free microscopy and neural networks Multiphoton microscopy combined with deep learning can rapidly and accurately identify pancreatic neuroendocrine tumors, offering a potential tool for real-time surgical guidance

Tumor detection just got smarter. Researchers @uarizona.bsky.social combined multiphoton microscopy w/ deep learning to rapidly + accurately identify pancreatic neuroendocrine tumors, offering a potential tool for real-time surgical guidance.

Read more: https://bit.ly/46X9p2G #BiophotonicsDiscovery

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Diagram illustrating the process of capturing and reconstructing images using a diffuser fundus camera, starting from a schematic of the human eye through to a sensor capturing a raw image.

Diagram illustrating the process of capturing and reconstructing images using a diffuser fundus camera, starting from a schematic of the human eye through to a sensor capturing a raw image.

Teams from Johns Hopkins University & @bostonu.bsky.social demonstrate a retina imaging technique that digitally refocuses scans after capture. It removes the need for precise alignment, delivering sharper images & faster diagnosis. 👁️ #BiophotonicsDiscovery #Optics

Read more: https://bit.ly/4mZ34Kq

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Optical imaging technique could help spot colorectal cancer sooner AI-assisted autofluorescence lifetime imaging can accurately distinguish malignant from benign colorectal tissue in real time, offering a promising tool for improving cancer detection during endoscopi

AI meets autofluorescence: A new optical imaging technique uses tissue’s natural glow to detect colorectal cancer. Real-time, dye-free, and highly accurate.

Learn more by reading the #BiophotonicsDiscovery article summary on our website: https://bit.ly/41JbKg8

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A theoretical study recently published in Biophotonics Discovery used computer modeling to examine how skin color and other skin properties might influence how much therapeutic light reaches target tissues. 💡

🔗spie.org/news/rethin...

#BiophotonicsDiscovery

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Portable surface-enhanced Raman spectroscopy enables rapid, noninvasive detection of vaginal microbes and early identification of microbiome imbalances—advancing point-of-care diagnostics for gynecological health and microbial profiling. 🧪

🔗 spie.org/news/portab...

#BiophotonicsDiscovery

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New in #BiophotonicsDiscovery!

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🔬 Researchers at @uarizona.bsky.social created a low-cost method using AI + label-free microscopy to ID pancreatic cancer traits. No dyes, 90% accuracy, huge precision medicine potential!

Want a summary of the research? Read it here: spie.org/news/optica...

#BiophotonicsDiscovery

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Smartphones may boost pulse oximeter accuracy across skin tones. A study from @brownmedicine.bsky.social & Morgan State Univ. shows phone cameras can standardize skin tone measurement, offering a low-cost tool for medical diagnostics.

Learn more: spie.org/news/smartp...

#BiophotonicsDiscovery

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Drawing of an eye with a cataract laser.

Drawing of an eye with a cataract laser.


Congrats to Mitchell Harrah (@mharrah.bsky.social) & team ‪@usf.edu for developing laser tech to make cataract surgery affordable, for accessible eyecare worldwide! 👁️💡

www.spie.org/news/ne...

#BiophotonicsDiscovery

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Diagram of the prototype that shows electrical components housed in an aluminum shell.

Diagram of the prototype that shows electrical components housed in an aluminum shell.

Low-cost device for phacoemulsification may facilitate cataract surgeries for #VisionHealth in low-resource settings.

📖 Learn more: www.spiedigitallibra...

#BiophotonicsDiscovery #GlobalHealth

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#Radiomics, an emerging machine learning approach for conventional #MedicalImaging, is applied to conjunctiva photos to analyze morphological alterations in the microvasculature beyond direct visualization in school-aged children.

Learn more: www.spiedigitallibra...

#BiophotonicsDiscovery

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Save the date for the BIOS Hot Topics Webinar: Maternal, Reproductive, and Neonatal Health, happening 12 May! 🩺

Register for free at https://bit.ly/4l9CEWs

See you there! #BiophotonicsDiscovery

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A new, noninvasive method detects anemia in children by analyzing smartphone photos of the eye’s conjunctiva, thanks to researchers at Purdue Univ., Rwanda Biomedical Ctr, and Univ. of Rwanda📱

Read the #BiophotonicsDiscovery news story here - www.spie.org/news/sm...

#MachineLearning #GlobalHealth

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