BetaBuddy: An end-to-end computer vision pipeline for the automated analysis of insulin secreting β-cells DOI Creative Commons
Anne M. Alsup, Kelli Fowlds, Michael Cho

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: April 6, 2023

Abstract Insulin secretion from pancreatic β-cells is integral in maintaining the delicate equilibrium of blood glucose levels. Calcium known to be a key regulator and triggers release insulin. This sub-cellular process can monitored tracked through live-cell imaging subsequent cell segmentation, registration, tracking, analysis calcium level each cell. Current methods typically require manual outlining β-cells, involve multiple software packages, necessitate researchers - all which tend introduce biases. Utilizing deep learning algorithms, we have therefore created pipeline automatically segment track thousands cells, greatly reduces time required gather analyze large number images improve accuracy. Tracking cells over time-series image stack also allows isolate specific spiking patterns spatially identify those interest, creating an efficient user-friendly tool. Using our automated pipeline, previous dataset used evaluate changes activity post-electric field stimulation was reanalyzed. Changes were found underestimated previously with segmentation. Moreover, machine provides powerful rapid computational approach examine, for example, how signaling regulated by intracellular interactions cluster β-cells.

Language: Английский

Diabetes in spotlight: current knowledge and perspectives of photobiomodulation utilization DOI Creative Commons
Quentin Perrier, Cécile Moro, Sandrine Lablanche

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: March 19, 2024

Introduction Diabetes is a global health concern characterized by chronic hyperglycemia resulting from insulinopenia and/or insulin resistance. The rising prevalence of diabetes and its associated complications (ulcers, periodontitis, healing bone defect, neuropathy, retinopathy, cardiopathy nephropathy) necessitate innovative therapeutic approaches. Photobiomodulation (PBM), involves exposing tissues cells to low-energy light radiation, leading biological effects, largely via mitochondrial activation. Methods This review evaluates preclinical clinical studies exploring the potential PBM in complications, as well all trials, both planned completed, available on ClinicalTrials database. Results highlights variability parameters across studies, hindering consensus optimal protocols. Standardization treatment rigorous trials are needed unlock PBM’s full potential. 87 were identified that investigated mellitus (with 5,837 patients be treated with PBM). Clinical assessing effects diabetic neuropathy revealed pain reduction quality life improvement. Studies focusing wound indicated encouraging results, enhancing angiogenesis, fibroblast proliferation, collagen density. impact retinopathy remains inconclusive however, requiring further investigation. In glycemic control, exhibits positive metabolic parameters, including glucose tolerance Conclusion have reported PBM-induced reductions fasting postprandial glycemia without an increased hypoglycemic risk. may related beta islets pancreas. Notwithstanding challenges, emerges promising adjunctive therapy for managing healing, control. Further investigation into muscle recovery warranted.

Language: Английский

Citations

9
Wavelength-Dependent Calcium Signaling Response to Photobiomodulation in Pancreatic Cells DOI Creative Commons
Kelli Fowlds, Anne M. Alsup,

Abhidha Kunwar

et al.

Photonics, Journal Year: 2025, Volume and Issue: 12(2), P. 99 - 99

Published: Jan. 23, 2025

Diabetes mellitus is a metabolic disorder that rapidly growing across the world. Our laboratory has recently demonstrated photobiomodulation (PBM) can couple to its pathways by modulating calcium dynamics in islet cells, including α- and β-cells. Using computer vision algorithms, changes PBM-induced be verified, and, more importantly, this led us propose hypotheses will likely advance our understanding of photostimulatory effects cells. In previous paper, we determined spiking response PBM at 810 nm manually segmenting cells patterns. We have since developed vison pipeline automate cell segmentation subsequent image analyses. By using automated methods for segmentation, registration, tracking, statistical analysis, were able improve accuracy previously observed both types. Moreover, was applied elucidate wavelength-dependent modulation 1064 nm. The extent increase appears been overestimated manual machine learning capture segment nearly 3-fold suggesting improved analysis Detailed also indicates biphasic dose among β-cells therapy different wavelengths. current findings offer novel hypothesis may facilitate use translational as potential diabetes mellitus.

Language: Английский

Citations

0
Investigation of optical wireless power transmission across biological tissue using NIR light considering safe irradiance level DOI Creative Commons
Syifaul Fuada, Mariella Särestöniemi, Marcos Katz

et al.

Results in Optics, Journal Year: 2025, Volume and Issue: unknown, P. 100801 - 100801

Published: March 1, 2025

Language: Английский

Citations

0
Duodenal Dual-Wavelength Photobiomodulation Improves Hyperglycemia and Hepatic Parameters with Alteration of Gut Microbiome in Type 2 Diabetes Animal Model DOI Creative Commons
Se Hee Min, Jinhee Kwon, Eunju Do

et al.

Cells, Journal Year: 2022, Volume and Issue: 11(21), P. 3490 - 3490

Published: Nov. 3, 2022

Recently, the duodenum has garnered interest for its role in treating metabolic diseases, including type 2 diabetes (T2DM). Multiple sessions of external photobiomodulation (PBM) previous animal studies suggested it resulted improved hyperglycemia, glucose intolerance, and insulin resistance with a multifactorial mechanism action, despite target organ PBM not being clearly proven. This study aimed to determine whether single session duodenal light-emitting diode (LED) may impact T2DM treatment an model.Goto-Kakizaki rats as models were subjected through lumen irradiation, sham procedure, or control 1-week pilot (630 nm, 850 630/850 nm) 4-week follow-up nm studies. Oral tolerance tests; serum glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide, levels; liver chemistry histology; gut microbiome PBM, control, groups evaluated.In study, dual-wavelength (D, LED showed alkaline phosphatase cholesterol levels, weight gain than other groups. The D-LED group also hyperglycemia enzyme relatively preserved pancreatic islets increased GLP-1 levels. Five genera (Bacteroides, Escherichia, Parabacteroides, Allobaculum, Faecalibaculum) significantly enriched week after PBM. Bacteroides acidifaciens increased, while Lachnospiraceae decreased week.A hepatic parameters change insulin, resistance, expression β-cells, models.

Language: Английский

Citations

10
BetaBuddy: An automated end-to-end computer vision pipeline for analysis of calcium fluorescence dynamics in β-cells DOI Creative Commons
Anne M. Alsup, Kelli Fowlds, Michael Cho

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(3), P. e0299549 - e0299549

Published: March 15, 2024

Insulin secretion from pancreatic β-cells is integral in maintaining the delicate equilibrium of blood glucose levels. Calcium known to be a key regulator and triggers release insulin. This sub-cellular process can monitored tracked through live-cell imaging subsequent cell segmentation, registration, tracking, analysis calcium level each cell. Current methods typically require manual outlining β-cells, involve multiple software packages, necessitate researchers—all which tend introduce biases. Utilizing deep learning algorithms, we have therefore created pipeline automatically segment track thousands cells, greatly reduces time required gather analyze large number images improve accuracy. Tracking cells over time-series image stack also allows researchers isolate specific spiking patterns spatially identify those interest, creating an efficient user-friendly tool. Using our automated pipeline, previous dataset used evaluate changes activity post-electric field stimulation was reanalyzed. Changes were found underestimated previously with segmentation. Moreover, machine provides powerful rapid computational approach examine, for example, how signaling regulated by intracellular interactions.

Language: Английский

Citations

1
Low-power infrared laser on survival, proliferation, and reactive oxygen species levels in Escherichia coli cultures DOI

Marisa da Cunha Sales,

Giovanna de Pontes dos Santos,

A. Ferreira

et al.

Laser Physics, Journal Year: 2024, Volume and Issue: 34(4), P. 045603 - 045603

Published: March 8, 2024

Abstract Laser devices are light sources that emit monochromatic, coherent, and collimated electromagnetic radiation beams. Low-power lasers widely used to treat clinical conditions based on the photobiomodulation effect. Despite therapeutic applications, mainly in continuous waves, limited data available effects induced by low-power pulsed emission mode. Thus, aim of this study was evaluate a infrared laser survival, proliferation, DNA damage, reactive oxygen species (ROS) levels Escherichia coli cells. E. C600 cultures pUC19 plasmids were exposed (5000 Hz) (904 nm) (1.1, 2.3, 4.6 J). Bacterial survival evaluated fractions, bacterial proliferation measurement colony areas, damage plasmid profiling agarose gels after electrophoresis, ROS level flow cytometry. The results suggest exposure mode does not alter electrophoretic profile but decreases increases cultures.

Language: Английский

Citations

1
Long-term safety of photobiomodulation exposure to beta cell line and rat islets in vitro and in vivo DOI Creative Commons
Quentin Perrier, Cécile Cottet‐Rousselle, Frédéric Lamarche

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 6, 2024

This study evaluates the safety and potential benefits of PBM on pancreatic beta cells islets. was applied to insulin-secreting cell lines (MIN6) rat islets using a 670 nm light source, continuous output, with power density 2.8 mW/cm², from 5 s several 24 h. Measure viability, insulin secretion, mitochondrial function, ATP content, cellular respiration were assessed. Additionally, diabetic model is used for islet transplantation (pre-conditioning or not) experiments. Short long-term exposure did not affect secretion nor content. While short-term (2 h) increases superoxide ion this observed long (24 h). Mitochondrial respirations slightly decreased after PBM. In model, both pre-illuminated non-illuminated improved metabolic control in rats profile regarding post-transplantation period. summary, first time, exhibited terms energetic profiles vitro, period vivo. Further investigation warranted explore PBM's protective effects under conditions stress, aiding development innovative approaches therapy.

Language: Английский

Citations

0
BetaBuddy: An end-to-end computer vision pipeline for the automated analysis of insulin secreting β-cells DOI Creative Commons
Anne M. Alsup, Kelli Fowlds, Michael Cho

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: April 6, 2023

Abstract Insulin secretion from pancreatic β-cells is integral in maintaining the delicate equilibrium of blood glucose levels. Calcium known to be a key regulator and triggers release insulin. This sub-cellular process can monitored tracked through live-cell imaging subsequent cell segmentation, registration, tracking, analysis calcium level each cell. Current methods typically require manual outlining β-cells, involve multiple software packages, necessitate researchers - all which tend introduce biases. Utilizing deep learning algorithms, we have therefore created pipeline automatically segment track thousands cells, greatly reduces time required gather analyze large number images improve accuracy. Tracking cells over time-series image stack also allows isolate specific spiking patterns spatially identify those interest, creating an efficient user-friendly tool. Using our automated pipeline, previous dataset used evaluate changes activity post-electric field stimulation was reanalyzed. Changes were found underestimated previously with segmentation. Moreover, machine provides powerful rapid computational approach examine, for example, how signaling regulated by intracellular interactions cluster β-cells.

Language: Английский

Citations

0