SYSTEMATIC REVIEW OF DIAGNOSTIC ACCURACY OF MODIFIED GRAM STAIN TECHNIQUES FOR THE DETECTION AND INTERPRETATION OF MYCOBACTERIUM SPP

Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [328] SYSTEMATIC REVIEW OF DIAGNOSTIC ACCURACY OF MODIFIED GRAM STAIN TECHNIQUES FOR THE DETECTION AND INTERPRETATION OF MYCOBACTERIUM SPP. Fedelyn S. Flores1 Jin Ryu A. Taberna1 John David P. Candelaria1 Gecelene C. Estorico1’2 Civil and Allied Department; Chemical Technology and Environmental Science Department 1Technological University of the Philippines – Taguig City, Metro Manila 1630, Philippines 2De La Salle University – Damariñas, DBB-B, 4115 West Ave., Damariñas ABSTRACT This systematic review examines the diagnostic interpretation of Gram stain and modified staining techniques for Mycobacterium species, focusing on improvements introduced by auramine fluorescence, LED microscopy, and automation. Mycobacterium spp. possess lipid-rich cell walls that resist conventional Gram staining, often producing inconsistent results that hinder accurate detection. Over the past decade, advances in staining chemistry and image-assisted microscopy have sought to enhance diagnostic accuracy and laboratory efficiency. This review follows the PRISMA 2020 guidelines, analyzing peer-reviewed literature published between 2015 and 2025 from PubMed, Scopus, Web of Science, and Google Scholar. Findings indicate that auramine-based LED fluorescence microscopy demonstrates higher sensitivity and throughput compared to Ziehl–Neelsen and traditional Gram staining, while machine-assisted auramine interpretation further improves reliability. Although modified Gram protocols show potential for differentiating acid-fast organisms, results remain variable. The review underscores the continued importance of fluorescence microscopy as the standard for mycobacterial detection and highlights the need for further research on standardized protocols and automated interpretation systems. Keywords: Auramine, LED Fluorescence Microscopy, Diagnostic Accuracy, Acid-Fast Bacilli (AFB) INTRODUCTION Mycobacterium species are acid-fast bacilli characterized by their lipid-rich, hydrophobic cell envelopes composed of mycolic acids, glycolipids, and waxes. This unique cell wall structure confers high resistance to chemical damage and dehydration, making these organisms notably refractory to conventional Gram staining techniques (Forbes et al., 2018; Tortoli et al., 2020). As a result, Mycobacterium spp. may appear weakly Gram-positive or as faint “ghost” cells under light microscopy. Accurate identification is of significant clinical importance due to their association with major infectious diseases, including tuberculosis, leprosy, and a range of non-tuberculous mycobacterial (NTM) infections that affect both immunocompetent and immunocompromised individuals (Griffith et al., 2020; Daley et al., 2021). Traditional diagnostic methods rely on acid-fast staining techniques such as Ziehl– Neelsen and Auramine O fluorescence staining, which selectively target the mycolic acid layer to enhance visibility under microscopy (Murray et al., 2019). However, these methods can be labor-intensive, require specialized reagents, and may show variable sensitivity in low-bacterialload samples. Recent advancements in diagnostic microbiology have led to the development of modified Gram staining protocols, LED-based fluorescence microscopy, and digital imageassisted interpretation tools aimed at improving visualization and diagnostic accuracy (Lee et al., 2021; Singh et al., 2023). These innovations offer potential advantages in terms of speed, reproducibility, and accessibility, particularly in low-resource clinical settings. While numerous studies have assessed the diagnostic performance of conventional and fluorescent staining techniques for Mycobacterium spp., discrepancies in accuracy, Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [329] reproducibility, and interpretive consistency persist across different methodologies and sample types (Chakraborty et al., 2020; Kafle et al., 2022). Factors such as cell wall lipid content, staining duration, and operator experience significantly influence detection outcomes. Furthermore, comparative evaluations between Gram-based modifications and traditional acidfast techniques remain limited, particularly regarding their applicability in automated or AIassisted diagnostic workflows. Given the global burden of mycobacterial diseases and the critical role of accurate microscopic diagnosis in early detection and treatment initiation, a systematic review of the existing literature is warranted. This review aims to synthesize evidence from the past decade to clarify diagnostic accuracy, identify methodological gaps, and evaluate the interpretive reliability of Gram and modified staining techniques in differentiating Mycobacterium spp. from other morphologically similar organisms. Such an analysis will contribute to refining laboratory protocols, improving diagnostic efficiency, and guiding future innovations in mycobacterial microscopy OBJECTIVES The objective of this systematic review aims to synthesize and evaluate the existing evidence on the diagnostic accuracy and interpretive reliability of Gram stain and modified staining techniques for the detection of Mycobacterium spp. Specifically: (1) To compare the diagnostic sensitivity and specificity of conventional Gram staining with modified Gram and established acid-fast techniques (such as Ziehl-Neelsen and Auramine O fluorescence) for detecting Mycobacterium spp. in clinical specimens; (2) To assess the impact of technological advancements, including LED fluorescence microscopy and automated image-assisted interpretation systems, on the accuracy, throughput, and reproducibility of mycobacterial diagnosis; and (3) To identify and analyze the methodological factors and limitations (e.g., staining protocols, sample type, operator expertise) that influence the consistency and reliability of interpreting Mycobacterium spp. using these staining methods. METHODOLOGY This study adopts a systematic review approach to synthesize existing research on the diagnostic interpretation of Gram stain and modified staining techniques for Mycobacterium species. By analyzing and comparing multiple diagnostic and experimental studies, this review aims to provide a comprehensive evaluation of staining innovations, their diagnostic performance, interpretive consistency, and applicability in detecting Mycobacterium spp. across various clinical settings. The study follows PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to ensure methodological rigor, transparency, and replicability. A. Literature Search Strategy A systematic literature search was conducted across scientific databases, including PubMed, Scopus, Web of Science, ScienceDirect, and Google Scholar, to identify peer-reviewed studies on Mycobacterium diagnostics, staining techniques, and microscopy innovations. Specialized journals such as the Journal of Clinical Microbiology, Tuberculosis (Edinburgh), and the International Journal of Mycobacteriology were prioritized due to their focus on tuberculosis and mycobacterial research. Boolean operators refined the search process, combining terms such as “Mycobacterium spp.,” “Gram stain,” “modified Gram,” “acid-fast,” “Auramine,” “Ziehl–Neelsen,” “LED fluorescence microscopy,” and “diagnostic accuracy.” Filters were applied to include studies published between 2015 and 2025, written in English, and focusing on the diagnostic evaluation, staining performance, or interpretive consistency of Gram and modified techniques. Studies emphasizing comparative diagnostics, automated image analysis, or microscopy-based differentiation of Mycobacterium species were prioritized for inclusion. For inclusion, studies were required to meet the following criteria: (1) evaluate Gram or modified staining techniques applied to Mycobacterium spp. or acid-fast bacilli; (2) provide diagnostic or interpretive data such as sensitivity, specificity, or false-positive/negative rates; and (3) utilize confirmatory methods such as culture or molecular assays as reference standards. Excluded were studies lacking quantitative data, non-peer-reviewed reports, and review articles without Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [330] primary experimental findings. This approach ensured the inclusion of methodologically sound and empirically validated research relevant to the review’s objectives. B. Data Treatment A comprehensive review and database search were conducted to identify relevant studies evaluating staining and microscopy techniques for Mycobacterium detection. In addition to major databases, specialized infectious disease and diagnostic journals such as Tuberculosis Research and Treatment and Diagnostic Microbiology and Infectious Disease were examined to capture recent diagnostic innovations. The search strategy used Boolean operators to combine key terms: “Mycobacterium tuberculosis” OR “non-tuberculous mycobacteria” OR “Gram stain” OR “acid-fast stain” OR “Ziehl– Neelsen” OR “Auramine O” OR “LED microscopy” OR “diagnostic performance.” To ensure relevance and consistency, filters were set to include studies published between 2015 and 2025, conducted in English, and involving human clinical samples such as sputum, lymph node aspirates, and tissue biopsies. The extracted data were analyzed to identify patterns, methodological strengths, and diagnostic limitations across the literature. The analysis included: ● Descriptive Analysis: A summary of current Mycobacterium staining approaches, highlighting diagnostic principles, dye affinities, and improvements in visualization accuracy. ● Comparative Synthesis: Comparison of the diagnostic sensitivity and specificity of conventional Gram staining versus modified methods, including Ziehl–Neelsen and Auramine-based LED fluorescence microscopy. ● Correlation Studies: Examination of how Mycobacterium’s cell wall composition—rich in mycolic acids and complex lipids—influences staining properties, dye uptake, and interpretive reliability. ● Statistical Findings: When reported, diagnostic values (e.g., 2×2 tables, ROC analyses, sensitivity/specificity percentages) were compiled and compared to evaluate the consistency and reliability of each staining method. This structured approach ensured cross-study comparability, enabling a balanced synthesis of diagnostic performance and interpretive challenges across techniques. C. Data Extraction and Interpretation For each included study, relevant data were systematically extracted and categorized to enable a structured comparative assessment. The extraction process focused on four primary areas: First, study characteristics were recorded, including publication year, country, research setting, and type of clinical samples analyzed. Studies were also categorized according to their diagnostic focus—M. tuberculosis complex or non-tuberculous mycobacteria (NTM). Second, methodological variables were extracted, detailing the staining protocols (e.g., Gram, Ziehl–Neelsen, Auramine O, modified Gram), decolorization processes, and microscopy types (manual, LED-based, or automated digital systems). Specific attention was given to innovative modifications such as the Brown–Brenn, Brown–Hopps, and Fite–Faraco stains, which aim to enhance acid-fast visualization while retaining Gram contrast. Third, diagnostic outcomes were documented, including the number of positive and negative smears, as well as reported accuracy measures such as sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Studies presenting full 2×2 diagnostic data were prioritized for quantitative synthesis. Finally, interpretive insights and limitations were summarized. This included identification of common diagnostic issues such as false negatives from over-decolorization, variability in stain intensity, and human error in microscopic interpretation. Studies emphasizing automation and AIassisted slide scanning were reviewed for their role in improving diagnostic throughput and minimizing subjectivity. This systematic and detailed approach ensured that extracted data were comparable, replicable, and representative of global diagnostic practices. Through critical evaluation of methods, diagnostic Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [331] parameters, and interpretive reliability, this review aims to establish a comprehensive understanding of how Gram and modified staining techniques contribute to modern Mycobacterium diagnostics, identifying both technological advancements and persisting gaps in laboratory application RESULTS AND DISCUSSION This systematic review investigates the diagnostic performance and interpretive accuracy of Gram stain and modified staining techniques—including Ziehl–Neelsen (ZN), Auramine O, Auramine–Rhodamine, and LED fluorescence microscopy (LED-FM)—for the detection of Mycobacterium species in clinical specimens. Mycobacterium spp. are acid-fast bacilli with lipid-rich cell envelopes that render them resistant to conventional Gram staining. Their identification remains a major challenge in microbiology, particularly in low-resource settings where advanced molecular tools are limited. The included studies assessed innovations such as automated auramine LED-based fluorescence microscopy, μ-Scan image-assisted systems, and modified Gram staining protocols for improved detection and differentiation of Mycobacterium tuberculosis and nontuberculous mycobacteria (NTM). The review follows PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and includes studies published between 2015 and 2025, ensuring the inclusion of the most recent advancements in mycobacterial microscopy. Across the reviewed literature, results indicate that fluorescence microscopy— especially LED-FM—achieves significantly higher sensitivity and observer consistency than traditional Ziehl–Neelsen staining. Modified Gram stains, while occasionally revealing “ghost” or weakly positive bacilli, remain less reliable as a standalone diagnostic tool. Automated fluorescence systems, however, demonstrated promising potential in improving throughput, reducing human error, and enabling semi-quantitative analysis through machineassisted algorithm Table 1. Summary of Key Data and Diagnostic Characteristics of Included Studies Country Specimen (s) Index Test(s) Comparator(s) Key Findings Diagnostic Effect Reference Germany Sputum smears Automated Auramine LED-FM Manual Auramine, Culture/Xpert Automated fluorescence microscopy improved slide screening speed by 2×; 92% concordance with culture results. High interobserver agreement, improved workflow efficiency. Horvath, L., et al. (2020). Journal of Clinical Microscopy Taiwan Sputum smears μ-Scan Automated Auramine Manual microscopy, Culture Sensitivity: 87.7%, Specificity: 96%; μ-Scan reduced observer bias and enhanced contrast detection. Reliable for lowbacillary-load samples; improved diagnostic standardization. Huang, Y., et al. (2022). Diagnostic Microbiology and Infectious Disease Peru Pulmonar Ziehl– Culture, ZN Sensitivity: Auramine– Tapia- Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [332] y & extrapulm onary Neelsen; Auramine– Rhodamin e Molecular 26.9%, Specificity: 98.5%; AO Sensitivity: 30%, Specificity: 98%; AO provided better visualization in extrapulmonary samples. Rhodamine outperformed ZN in clarity and accuracy. Sequeiros, R., et al. (2025). Revista Peruana de Medicina Experimental y Salud Pública Ethiopia Fine needle aspirates Auramine LED-FM Ziehl–Neelsen, Culture LED-FM Sensitivity: 78.1%, Specificity: 90%; ZN Sensitivity: 62.5%, Specificity: 93.3%; LEDFM shortened reading time by 40%. Assefa, M., et al. (2021). Pan African Medical Journal Table 1 provides a detailed synthesis of the diagnostic methodologies, test performance, and comparative evaluations reported in studies investigating the accuracy of Gram and modified staining techniques for the detection of Mycobacterium spp. in clinical specimens. The results highlight an evident diagnostic transition over the last decade from conventional Ziehl–Neelsen (ZN) staining toward fluorescence-based microscopy and automated imaging systems. These newer approaches—particularly Auramine Oand Auramine–Rhodaminebased LED fluorescence microscopy (LED-FM)—have proven to enhance diagnostic precision, efficiency, and reproducibility in both pulmonary and extrapulmonary tuberculosis cases. Among the studies reviewed, Horvath et al. (2020) conducted one of the earliest largescale evaluations of automated fluorescence microscopy for Mycobacterium detection. Their study demonstrated that automated LED-FM significantly improved slide screening efficiency, reducing manual observation time by almost half while achieving a remarkable 92% concordance rate with culture-based gold-standard results. The integration of automation allowed for faster scanning and more consistent field visualization, addressing the inter-observer variability that often limits manual microscopy accuracy. In a similar vein, Huang et al. (2022) validated the diagnostic reliability of the μ-Scan automated Auramine microscopy system in a Taiwanese clinical cohort. Their findings showed a sensitivity of 87.7% and specificity of 96%, confirming that digital fluorescence imaging minimizes observer bias by automating focus adjustment, fluorescence intensity calibration, and image capture. The μ-Scan system’s ability to process and analyze large batches of samples also made it suitable for high-throughput laboratory environments. Conversely, Tapia-Sequeiros et al. (2025) evaluated both Ziehl–Neelsen and Auramine–Rhodamine staining techniques on pulmonary and extrapulmonary samples from Peruvian health facilities. Their study revealed lower sensitivity values for both ZN (26.9%) and AO (30%), but high specificity exceeding 98%. These results underscore the persistent Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [333] limitation of traditional stains when applied to low-bacillary-load specimens, where acid-fast bacilli are sparse or unevenly distributed. Nonetheless, the authors observed that fluorescence microscopy provided improved visualization clarity under low-light conditions, supporting its diagnostic use in field laboratories. Lastly, Assefa et al. (2021) assessed LED-FM for fine needle aspirate samples in Ethiopia and found a 40% reduction in slide-reading time compared to ZN, with sensitivity increasing from 62.5% to 78.1%. Importantly, the study demonstrated that LED-FM maintained high diagnostic consistency even in non-sputum specimens, indicating its versatility across various clinical sample types. Taken together, Table 1 emphasizes that LED-based fluorescence microscopy and automation represent key advancements in mycobacterial diagnostics, offering an optimal balance between accuracy, cost-effectiveness, and operational sustainability. These techniques not only improve sensitivity and inter-observer reliability but also align with World Health Organization (WHO) recommendations promoting LED-FM as the preferred microscopy method in tuberculosis control programs. Their advantages—such as lower energy consumption, longer illumination lifespan, and reduced dependence on operator expertise—make them particularly suited for low-resource, high-burden regions where rapid, reliable detection is most needed Table 2. Extracted Diagnostic Data (2×2 Tables) from Included Studies. Study Test True Positive False Positive False Negative True Negative Key Notes Horvath et al. (2020) Automated Auramine LED-FM 40 — 16 — FP/TN not reported; high sensitivity in culturepositive cases. Huang et al. (2022) μ-Scan Automated Auramine 57 67 8 1,594 Performance consistent with manual microscopy; improved reproducibilit y. TapiaSequeiros et al. (2025) (ZN) Ziehl– Neelsen 28 4 76 270 Low sensitivity at low bacillary load; consistent with literature trends. TapiaSequeiros et al. (2025) (AO) Auramine– Rhodamine 18 3 42 165 Better visualization, faster detection, fewer false Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [334] negatives. Assefa et al. (2021) (LED-FM) Auramine LED-FM 50 3 14 27 Reduced reading time and higher positivity rate. Assefa et al. (2021) (ZN) Ziehl– Neelsen 40 2 24 28 Standard performance; more operatordependent. Table 2 presents the 2×2 diagnostic contingency data extracted from the included studies, detailing the true positive (TP), false positive (FP), false negative (FN), and true negative (TN) outcomes for each staining technique. The summarized data offer a direct quantitative comparison of diagnostic reliability across different microscopy methods, emphasizing the performance gap between Ziehl–Neelsen and fluorescence-based approaches. Horvath et al. (2020) and Huang et al. (2022) both reported notably high TP values in automated fluorescence systems, reflecting superior sensitivity compared to manual microscopy. These systems not only reduced FN rates but also increased the overall detection rate in low-intensity smears, where manual visualization might miss sparse bacilli. In contrast, the Tapia-Sequeiros et al. (2025) study confirmed ZN’s low sensitivity (26.9%) and modest improvement with Auramine–Rhodamine (30%), while maintaining high specificity (>98%), reinforcing the notion that ZN is more suitable for confirmatory testing rather than initial screening. Assefa et al. (2021) provided further evidence of LED-FM’s effectiveness, reporting 78.1% sensitivity and 90% specificity—significantly higher than the 62.5% and 93.3% values observed for ZN, respectively. These results demonstrate that fluorescence-based methods achieve a better balance between sensitivity and specificity, optimizing diagnostic performance without compromising accuracy. Overall, the collective data in Table 2 affirm that LED-FM and automated fluorescence microscopy yield superior diagnostic accuracy, greater speed, and enhanced consistency compared to Ziehl–Neelsen. The reduction in reading time and the capacity to scan larger smear areas contribute to higher throughput, making these techniques invaluable for laboratories managing large testing volumes. Moreover, the quantitative clarity provided by fluorescence microscopy supports more objective diagnostic decision-making, enabling early initiation of treatment and improved disease surveillance outcomes ACKNOWLEDGEMENT We would like to thank the faculty of the Civil and Allied Department, as well as the Chemical Technology and Environmental Science Department for their invaluable support throughout this research. A sincere appreciation to our adviser, Ms. Gecelene C. Estorico for her guidance and giving valuable feedback for us to improve our systematic review. We also extend our gratitude to the contributors, Fedelyn S. Flores, Jin Ryu A. Taberna, and John David P. Candelaria, for their commitment and effort in making this systematic review. CONCLUSION AND RECOMMENDATIONS A. Conclusion This systematic review synthesizes a decade of evidence, unequivocally demonstrating that while conventional Gram stain remains inadequate for the reliable detection of Mycobacterium spp. due to the Volume-09 Issue 10, October-2025 ISSN: 2456-9348 Impact Factor: 8.232 International Journal of Engineering Technology Research & Management (IJETRM) https://ijetrm.com/ IJETRM (http://ijetrm.com/) [335] organism's unique, lipid-rich cell wall, significant diagnostic advancements have been achieved through modified techniques and technological integration. The comparative analysis confirms that LED-based fluorescence microscopy (LED-FM), particularly with Auramine O staining, is diagnostically superior to the conventional Ziehl-Neelsen (ZN) method. LEDFM consistently demonstrates higher sensitivity, significantly reduces slide reading time, and improves throughput, making it the most effective microscopy-based technique for initial screening. Furthermore, the emergence of automated image-assisted interpretation systems represents a paradigm shift, substantially enhancing diagnostic reproducibility by minimizing operator-dependent variability and subjective error. These systems not only bolster the accuracy of fluorescence microscopy but also make high-throughput, standardized screening a viable reality for clinical laboratories. Although modified Gram stains offer some insight into the morphology of acid-fast bacilli, their performance is inconsistent and they cannot be recommended as a standalone diagnostic tool. The review identifies that the primary factors influencing the reliability of all staining methods are sample type, staining protocol standardization, and operator expertise. In summary, the future of microscopic diagnosis for mycobacterial diseases lies in the continued adoption and refinement of fluorescent dyes coupled with LED technology and automation. This approach offers an optimal balance of accuracy, efficiency, and cost-effectiveness, aligning with global health priorities for tuberculosis control. Future research should focus on standardizing these advanced protocols, improving their accessibility in low-resource settings, and further validating the role of artificial intelligence in achieving a fully automated, highly reliable diagnostic pipeline. B. Recommendations The study suggests that future research should focus on optimizing the diagnostic application of modified Gram and fluorescence staining techniques to enhance the detection accuracy of Mycobacterium species. Further investigations should evaluate how variations in staining duration, reagent concentration, and decolorization steps affect visualization quality and diagnostic reliability across different sample types. Additionally, researchers should explore the long-term stability, reproducibility, and cost-effectiveness of LED fluorescence microscopy (LED-FM) when applied in routine laboratory settings. The study also recommends that future investigations integrate automation and artificial intelligence (AI) systems into fluorescence microscopy to minimize human error and improve diagnostic throughput. Research should assess how digital image-assisted interpretation and AI-based detection algorithms can standardize results, reduce observer bias, and enhance early disease identification, particularly in high-burden tuberculosis regions. 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